aditya1601/kmeans-clustering-cpp

A C++ implementation of simple k-means clustering algorithm.

Language: C++ - Size: 529 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 64 - Forks: 37

yanqiangmiffy/text-cluster

:dango: 文本聚类 k-means算法及实战

Language: Python - Size: 9.27 MB - Last synced at: about 2 months ago - Pushed at: over 6 years ago - Stars: 54 - Forks: 12

PyDataBlog/ParallelKMeans.jl

Parallel & lightning fast implementation of available classic and contemporary variants of the KMeans clustering algorithm

Language: Julia - Size: 5.77 MB - Last synced at: 11 days ago - Pushed at: 8 months ago - Stars: 50 - Forks: 13

tofti/python-kmeans

Python Implementation of k-means clustering

Language: Python - Size: 1.05 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 21 - Forks: 13

Aruuunn/clustering-visualizer

Clustering Visualizer is a Web Application for visualizing popular Machine Learning Clustering Algorithms (K-Means, DBSCAN, Mean Shift, etc.).

Language: TypeScript - Size: 4.18 MB - Last synced at: 7 months ago - Pushed at: about 1 year ago - Stars: 11 - Forks: 0

popolee0513/Data-Science-Skills-Practice

Language: Jupyter Notebook - Size: 284 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 11 - Forks: 6

teddyoweh/College-Students-Clustering

Implementing Kmeans on a College Students database based on their iq and cgpa and using creating linear regression model to predict the clusters students belong to

Language: Jupyter Notebook - Size: 423 KB - Last synced at: 8 days ago - Pushed at: almost 3 years ago - Stars: 10 - Forks: 1

JangirSumit/kmeans-clustering

K Means Clustering - Unsupervised learning

Language: Jupyter Notebook - Size: 69.3 KB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 8 - Forks: 20

arnab39/Machine-Learning-Codes

Python implementation of basic machine learning algorithms

Language: Python - Size: 58.6 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 8 - Forks: 8

abythomas/Improved-K-means-Clustering-Algorithm

An improved k-means clustering algorithm with improved centroid selection and clustering functions

Language: Python - Size: 29.3 KB - Last synced at: 15 days ago - Pushed at: about 7 years ago - Stars: 7 - Forks: 5

billsioros/cmeans

A version of the K-Means Algorithm targeting the Capacitated Clustering Problem

Language: C++ - Size: 979 KB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0

musajajorge/makePalette

It's a package containing functions that allow you to create your own color palette from an image, using mathematical algorithms

Language: R - Size: 4.24 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 1

elrizwiraswara/kmeansapp

Analysis of patient disease data using K-Means Clustering algorithm

Language: Dart - Size: 686 KB - Last synced at: 4 months ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 0

diardanoraihan/Coursera_Capstone

The IBM Applied Data Science Capstone: The Battle of the Neighborhoods. The project is to cluster Toronto neighborhoods using KMeans to find the best location for starting a coffee shop business.

Language: Jupyter Notebook - Size: 19.8 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 4

deepakrana47/K-mean-clustering

K-mean clustering

Language: Python - Size: 25.4 KB - Last synced at: almost 2 years ago - Pushed at: about 6 years ago - Stars: 5 - Forks: 3

ravitejaCR7/Machine-Learning

Language: Python - Size: 186 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 1

avannaldas/ML-from-scratch

ML Algorithm implementation from scratch for practice

Language: Python - Size: 364 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 3

AmishaSomaiya/Machine-Learning

Machine Learning Code Implementations in Python

Language: Python - Size: 36.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

FatemehGholamzadeh/Data-Mining-Course-Assignments

Data Mining Course Assignments - Fall 2019

Language: Jupyter Notebook - Size: 21.1 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0

HxnDev/K-Means-on-IRIS-Dataset

k-means clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster.

Language: Jupyter Notebook - Size: 129 KB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 1

anushkaparadkar/R-Projects

List of mini projects done in R programming language to learn and master it

Language: Jupyter Notebook - Size: 339 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 5

divyam-goel/ML-using-MapReduce-and-Spark

Naive Implementation of Machine Learning Algorithms in distributed frameworks MapReduce and Spark

Language: Scilab - Size: 589 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 0

Niranjankumar-c/CustomerSegmentation-Banking

Develop a customer segmentation to define marketing strategy. Used PCA to reduce dimensions of the dataset and KMeans++ clustering technique is used for clustering and profiling of clusters.

Language: Jupyter Notebook - Size: 6.78 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 4 - Forks: 6

paocarvajal1912/Crypto_Clustering

Uses K-Means unsupervised machine learning algorithm and Principal Component Analysis to cluster cryptocurrencies based on performance in selected periods.

Language: Jupyter Notebook - Size: 5.16 MB - Last synced at: 8 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

Ahmed-Ibrahim-30/Parallel-Programming

Parallel Programming with Mpi and Open MP

Language: C - Size: 12 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 2

g-aditi/customer-personality-analysis

Using a Kaggle dataset, customer personality was analysed on the basis of their spending habits, income, education, and family size. K-Means, XGBoost, and SHAP Analysis were performed.

Language: Jupyter Notebook - Size: 1.68 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 1

n0obcoder/Clustering-Algorithms-in-Numpy

Implementation of some of the most used Clustering Algorithms from scratch (only using Numpy)

Language: Python - Size: 1.9 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 2

upadhyatejas/Analysis-and-Predications-of-Higher-Education-in-India

A recommender system based on data provided by MHRD on colleges and universities in India. Website-

Language: Jupyter Notebook - Size: 4.17 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 2

sahith/MachineLearning

MachineLearning

Language: Python - Size: 7.15 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 1

windson/Document-Cluster-Analysis-Python-K-Means

Cluster the documents using K-Means clustering Term Frequency - Inverse Document Frequency

Language: Jupyter Notebook - Size: 7.66 MB - Last synced at: about 1 year ago - Pushed at: about 8 years ago - Stars: 3 - Forks: 2

Zenus004/Credit-Card-Fraud-Detection-using-Machine-learning-Algorithms

Logistic Regression, Random Forest & K-means Clustering algorithms are used in this project

Language: Jupyter Notebook - Size: 3.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

Mathurshab2210/Ml_with_Mathur

Here are some fun projects to learn ML using Handson approach

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hlsxx/k-means-rust

The aim of this project is to implement the k-means algorithm using Rust-lang. The source code includes a parallel implementation in Rayon.

Language: Rust - Size: 1.9 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

shogunbanik18/Custoseg

Custoseg is an algorithmic Marketing based Project to do Customer Segmentation using KMean Clustering Algorithm and targeted Recommendations based on each segment

Language: Jupyter Notebook - Size: 118 KB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1

amirzenoozi/image-color-analyzer

A Simple Color CLI Analyzer For Images

Language: Python - Size: 18.6 KB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

MohamedSebaie/Algorithm-WorkShop-In_Python-ITI_Clustering_Project

Clustering Algorithms (KMeans, MeanShift, (Merged KMean and MeanShift) and DBSCAN)

Language: Jupyter Notebook - Size: 15 MB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

AyushSinha29/Age-vs-Income-KMeans

k-means clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster.

Language: Python - Size: 1.95 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

chaitanya-chafale/KMeans-Elbow-Method

This project uses the CGPA.csv file as the dataset (provides CGPA of the students) and uses the K-means algorithm to cluster the points using the elbow point method.

Language: Jupyter Notebook - Size: 57.6 KB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

muhammadzpw/python-kmeans

Implementation of K-means Clustering Algorithm using Python from scratch without ML library (using Numpy)

Language: Jupyter Notebook - Size: 267 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

heroorkrishna/Visibility_Climate

Building regression model

Size: 8.8 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

saminens/Machine-Learning-Models

Machine Learning models on Anomaly detection, Recommender system on movies based on IMDB dataset, Digit Identification using Logistic regression, Neural network based facial feature recognition, PCA, SVM based Spam filter, Logistic Regression - Nelder Mead

Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 2

Defvyb/k_means

Multithread open source application for k-means clustering, support really big files (lineCount <= 1000000000, dimensionsCount <=1000, centroids count <=1000)

Language: C++ - Size: 66.4 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

Felix83000/k-means-ski-resort

JAVA software which use k-means Algorithm in order to sort French ski resort into three clusters (Small Size, Medium Size, Big Size).

Language: Java - Size: 2.16 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 1

mleko/kmeans-clust

k-means clustering in TypeScript

Language: TypeScript - Size: 48.8 KB - Last synced at: 14 days ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 2

sakbarpu/Clustering_DimReduction

The implementations in this repository deal with clustering and dimensionality reduction for MNIST digits dataset. Kmeans clustering algorithm is implemented. Also different hierarchical clustering algorithms are tested. We also play with the PCA and TSNE embeddings of the MNIST dataset.

Language: Python - Size: 13.1 MB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 2 - Forks: 0

pravinyo/image-classification-using-clustering

Using Machine Learning techniques to cluster the images and classify them using k mean algorithm

Language: Matlab - Size: 421 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 0

Deanw123outlook/Machine-Learning-Projects

This repository will include feature engineering (dimensionality reduction | data pre-processing techniques) along with popular Supervised and Unsupervised Machine Learning Models !

Language: Jupyter Notebook - Size: 586 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

nthaihoc/rfm-segmentation-ml

An automatic machine learning based customer segmentation model with RFM analysis at ICTA conference 2024

Language: Python - Size: 221 KB - Last synced at: 3 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

aryanGupta-09/Kmeans-using-MapReduce

K-means clustering algorithm using MapReduce.

Language: Python - Size: 23.4 KB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

dpgitaccount/Project-Customer-Segmentation-Analysis-with-Power-BI

This project segments customers based on their purchasing behavior to identify different target groups. It demonstrates skills in data analysis, clustering, and visualization using Power BI.

Language: Jupyter Notebook - Size: 3.19 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

cymcymcymcym/directed_kmeans

maneuver the shape and distribution of kmeans clusters

Language: Jupyter Notebook - Size: 1.23 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

srijan-Git1247/ML.Net-Application-FileTypeClassifier

A File Type Classifier that predicts whether a file is a document, executable or a script based on a given set of attributes statically extracted from a file using K-means clustering trainer based on the Yinyang Method.

Language: C# - Size: 20.5 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

riddhigupta1110/DataWarehousingAndMining-V-MU-CSE

Codes for Practical experiments of Data Warehousing and Mining (Semester V - Computer Engineering - Mumbai University)

Language: Python - Size: 24.4 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

SoheilKhatibi/Image-Clustering

Image Clustering Algorithm implemented in C++

Language: C++ - Size: 489 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

SumanKOLKATA/K_Mean-clustering-Decision-Tree

👨‍💻👨‍💻 Large amount of customer data has been clustered and establishing predictive model by decision Tree.

Language: Jupyter Notebook - Size: 1.15 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

deva-246/APO-Agriculture-Production-Optimizer

Using Kmeans clustering and Logistic Regression Algorithm

Size: 2.93 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Shrinidhi1/PSO-Kmeans-Hybrid-for-High-Dimensional-Data-Clustering-with-Autoencoder

Enhancing the performance of high dimensional automatic data clustering using Particle Swarm Optimization (PSO) algorithm employing Autoencoder in Stock Market data.

Language: Python - Size: 14.6 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

nunuufdlh01/Airline-Customer-Value-Analysis

Airline Customer Value Analysis

Language: Jupyter Notebook - Size: 6.64 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

kiarashvosough1999/OMPKMeans

KMeans With OMP Parallelization

Language: C++ - Size: 4.6 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

gb-pignatti/ML_from_scratch

I code from scratch various Machine Learning algorithms.

Language: Jupyter Notebook - Size: 5 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

Abdelrahman13-coder/Unsupervised-Machine-Learning

Implementing Unsupervised machine learning algorithms from scratch and using them in various applications

Language: Jupyter Notebook - Size: 4.12 MB - Last synced at: 5 days ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

Elliott-dev/Machine-Learning-Cryptocurrency-Clusters

I am on the Advisory Services Team of a financial consultancy. One of MY clients, a prominent investment bank, is interested in offering a new cryptocurrency investment portfolio for its customers. The company, however, is lost in the vast universe of cryptocurrencies. They’ve asked me to create a report that includes what cryptocurrencies are on the trading market and determine whether they can be grouped to create a classification system for this new investment.

Language: Jupyter Notebook - Size: 93.8 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

DeconvFFT/unsupervised-scene-segmentation

I explore and compare different techniques for unsupervised scene segmentation. I try to answer these research questions: 1.) Can unsupervised convolutional neural networks learn enough structure from data to generate good quality segments? 2.) Is spatial continuity important to generate good quality clusters? 3.) Can we improve results from CNN and GMMs using K-means?

Language: Jupyter Notebook - Size: 13.3 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

sidharth-ds/E-Commerce-Customer-Segmentation

Grouping similar Products ---> Grouping similar Customers (based on Products they purchased, Quantity & Price of the product )

Language: Jupyter Notebook - Size: 6.15 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

immanuvelprathap/KMeans-Clustering-Unsupervised-ML-Projects

Here are the ML projects for Unsupervised Learning using k-means clustering algorithm. [ k-means clustering: is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean (cluster centers or cluster centroid), serving as a prototype of the cluster.]

Language: Jupyter Notebook - Size: 20.4 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

warmachine028/KMeansExample Fork of hatlesshacker/KMeansExample

Simple implementation of the KMeans Clustering algorithm in Python

Language: Python - Size: 363 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

venkatesh-eranti/Clustering_Project_online-retail_case-study

For an UK based non-store online retail for which we need to cluster it's customers in to different groups so that we can run targeted campaign for each group

Language: Jupyter Notebook - Size: 475 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

eeshwarib23/GRIP-THESPARKSFOUNDATION_-VirtualInternship

**Projects in this Repo:** Basic Regression Model for predicting student scores, Unsupervised Learning with K-Means clustering to find optimal K value using the Elbow method, and an introduction to Decision Trees with visualization.

Language: Jupyter Notebook - Size: 222 KB - Last synced at: 10 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

Elzawawy/kmeans-image-clustering

K-Means clustering algorithm implementation in Python.

Language: Jupyter Notebook - Size: 174 KB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

petrsuhin-al/k-means-clustering 📦

Implementation of the k-means method for the clustering problem.

Language: JavaScript - Size: 1.39 MB - Last synced at: 21 days ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

leakkari/ImageSegmentation

Image Segmentation using K-means

Language: C - Size: 399 KB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

adzkar/karimin-pergi-ke-pasar

Simple K-Means Implementation using python

Language: Python - Size: 1.95 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

RaiMar96/Approx_K-Means

Final Project for INTERNET OF THINGS BASED SMART SYSTEMS - UniCT a.a 2019/2020

Language: Python - Size: 1.03 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 1

parallelo-ai/kmeans

kmeans algorithm with go

Language: Go - Size: 11.7 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

kousikr26/kmeans-color-classifier

A rubiks cube color finder which uses unsupervised learning(K-means clustering algorithm) to find the colors

Language: Python - Size: 2.93 KB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

vishalsurya/CS171-_-Intro-to-ML-and-Data-Mining

Language: Jupyter Notebook - Size: 716 KB - Last synced at: about 1 year ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

manncodes/K-means

We made a Basic Implementation of K-means Clustering Algorithm for our mini-project of 1st Semester.

Language: C++ - Size: 21.5 KB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

XelaXer/K-Means-Clustering-w-OpenGL-Visualization

K-Means Clustering Algorithm visualized using OpenGL with an extensible interface.

Language: C - Size: 122 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 1

zeyadetman/K-MeansAlgorithm

K-Means Algorithm implemented using sequential and parallel algorithms.

Language: C++ - Size: 8.79 KB - Last synced at: 3 months ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0

mayank-k-jha/Text-Mining-Clustering-positive-and-Negative-words-from-a-document-using-KMeans

Text Mining Clustering positive and Negative words from a document using KMeans (Python implementation)

Language: Python - Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 2

jaewhyun/text_analytics

Created topic models with tf-idf for 142 unlabled news articles using the Stanford Core NLP library. With the resulting data, implemented clustering and classification algorithms (K-means and KNN) from scratch.

Language: Java - Size: 32.2 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 1

kmbuki/cluster_analysis

Cluster analysis - using different approaches

Language: R - Size: 852 KB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 1

lenhathoanvu/RFM

Language: Jupyter Notebook - Size: 8.9 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

powerplayer9/Matlab-KMeans

K-Means Algorithm for RGB Color Image

Language: MATLAB - Size: 1.24 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

michael-bmstu/clustering_recomend_system

An implementation of a recommender system based on clustering anime user ratings

Language: Jupyter Notebook - Size: 24.7 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

thetechleila/Music-Recommendation-Algorithm

A straightforward song recommendation algorithm that utilizes the KMeans Clustering classification method on the "Music Dataset: Lyrics and Metadata from 1950 to 2019"

Language: Jupyter Notebook - Size: 24.9 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

cytric-74/most-dominant-color-in-an-img

Python code for applying K means clustering for find most dominant color for any images uploaded along with their hex color code and name

Language: Python - Size: 3.91 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

JeroldWilson44/Customer-Segmentation-Using-Clustering

This project focuses on segmenting customers based on their spending behavior, age, income, and preferences using clustering algorithms like K-Means and Hierarchical Clustering. The outcome is a system that helps businesses understand different groups of customers to better tailor their marketing strategies.

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Daarwinmendez/VRP-con-ACO-y-Kmeans-Constrained

Proyecto VRP con ACO y Clustering: Optimiza rutas de entrega agrupando puntos con K-Means (considerando capacidad) y aplicando ACO para hallar rutas eficientes. Se valida la solución con métodos como Clarke-Wright y fuerza bruta evaluando MAE y MSE.

Language: Jupyter Notebook - Size: 1.31 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

sboni2/Machine_Learning_Intern

Machine learning algorithms and the applications

Language: Jupyter Notebook - Size: 2.15 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Chiagoziemchidera/Customer-Segmentation-Using-KMeans-Clustering

The project involved using KMeans clustering to segment customers based on behavioral patterns and preferences providing customer segments for targeted marketing strategies.

Language: Jupyter Notebook - Size: 25.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

gautamgc17/TSF-Internship-Tasks

This repository contains two notebooks showcasing basic Machine Learning tasks using Linear Regression and Clustering.

Language: Jupyter Notebook - Size: 483 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

anirudh-muthusundaram/Face_Detection_and_Clustering_using_MTCNN_and_KMeans_with_Deep_Embeddings

This model implements an automated pipeline for face detection, embedding generation, and clustering using deep learning and unsupervised machine learning techniques. The model utilizes MTCNN (Multi-task Cascaded Convolutional Neural Networks) for face detection, and InceptionResNetV1

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Wolexx4/Prediction-and-rock-typing-automation

Prediction and automation framework for rock typing using capillary pressure data

Size: 2.93 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

KizMan-23/unsupervised_models

underlining patterns and relationship between data

Language: Jupyter Notebook - Size: 1.12 MB - Last synced at: 19 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Abhinav330/Unsupervised-learning-Groping-of-schools

This Python notebook demonstrates an exploratory data analysis (EDA) and clustering exercise using the pandas, seaborn, and matplotlib libraries. The code works with a dataset called 'College_Data' and explores college-related attributes, including 'Private' status, graduation rates, and enrollment data.

Language: Jupyter Notebook - Size: 6.56 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Rafa-Carrasco/kmedias

SISTEMA DE AGRUPACION DE CASAS

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JayshKhan/KmeanVisualizing

This project implements a K-means clustering algorithm with data visualization using Matplotlib and SciPy, including an Elbow method for optimal cluster determination and animated visualizations of the clustering process. It generates random data, performs clustering, and visualizes the results with cluster boundaries.

Language: Python - Size: 8.79 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

sonugupta0932/iitb_project

Here are the projects I completed during my semesters at IIT Bombay. These projects involved Python coding and focused on various aspects of machine learning, including linear regression, logistic regression, and clustering.

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sajjad425/kmeans_clustering

The dataset includes the following columns: Id, SepalLengthCm, SepalWidthCm, PetalLengthCm, PetalWidthCm, and Species. We will use the Sepal and Petal measurements to predict the optimum number of clusters using the KMeans algorithm.

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