devxdebanjan/KMeans

clustering of night time satellite images and depicting them by use of different colors

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lenhathoanvu/RFM

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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: 14 days ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

powerplayer9/Matlab-KMeans

K-Means Algorithm for RGB Color Image

Language: MATLAB - Size: 1.24 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

walton-wang929/Color_Recognition

color recognition methods(kmeans and hsv)

Language: Python - Size: 12.5 MB - Last synced at: 5 days ago - Pushed at: about 7 years ago - Stars: 29 - Forks: 11

billsioros/cmeans

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

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

michael-bmstu/clustering_recomend_system

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

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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"

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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 !

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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: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

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.

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sboni2/Machine_Learning_Intern

Machine learning algorithms and the applications

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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.

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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.

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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

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.

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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: 21 days ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 1

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: 4 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

gautamgc17/TSF-Internship-Tasks

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

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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

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KizMan-23/unsupervised_models

underlining patterns and relationship between data

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yanqiangmiffy/text-cluster

:dango: 文本聚类 k-means算法及实战

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

aryanGupta-09/Kmeans-using-MapReduce

K-means clustering algorithm using MapReduce.

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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: about 1 month ago - Pushed at: about 7 years ago - Stars: 7 - Forks: 5

Aruuunn/clustering-visualizer

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

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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: 8 days ago - Pushed at: 8 months ago - Stars: 50 - Forks: 13

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.

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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: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

cymcymcymcym/directed_kmeans

maneuver the shape and distribution of kmeans clusters

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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.

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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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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.

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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: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

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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BottomsNode/SCT_ML_2

This Python script demonstrates how to perform customer segmentation using K-Means clustering based on annual income and spending score.

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LJadhav25/K-Means-Clustering-Data-Science-

K-means clustering is a popular unsupervised machine learning algorithm used for partitioning a dataset into a pre-defined number of clusters. The goal is to group similar data points together and discover underlying patterns or structures within the data.

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shamikaredkar/KMeans-Algorithm-Visualizer

The K-Means Visualizer is an interactive web application designed to help users understand and visualize the K-Means clustering algorithm. Through an intuitive interface, users can experiment with different numbers of data points and clusters, and observe how the algorithm iteratively updates centroids and assigns data points to clusters.

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swalusimbi/K-means-crime-clustering

This repository is a machine learning project entailing clustering of regions/districts based on crime types features. Application of k-means simplifies this clustering as you can easily tell districts with similar crime patterns, know regions of high risk due to the diversity of crimes committed.

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surtecha/ClusterCraft

Implementation of k-means clustering algorithm from scratch.

Language: Python - Size: 3.97 MB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 3

dc-aichara/simple-kmeans

Simple K-means clustering function

Language: Python - Size: 75.2 KB - Last synced at: about 1 year ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

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

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

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

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tranhlok/k-means 📦

Python simulation code for k means algorithm.

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Korag/K_Means_Clustering

Language: C# - Size: 407 KB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

Shivabajelan/CryptoClustering

This project applies K-means algorithm to group cryptocurrencies based on 24-hour and 7-day price changes. It also investigates the impact of dimensionality reduction using PCA on clustering outcomes.

Language: Jupyter Notebook - Size: 155 KB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Aalaa4444/Hamming_Network

Hamming Network implementation using PCA implementation from scratch

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SoheilKhatibi/Image-Clustering

Image Clustering Algorithm implemented in C++

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

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toludoyin/customer-segmentation-analysis

Segment customers based on their transaction performance similarities using business metrics (RFM & cohort analysis) and KMeans model.

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patilankita79/TweetsClusteringUsing_KMeans

Clustering tweets by utlizing Jaccard Distance metric and K-means clustering algorithm

Language: Python - Size: 62.5 KB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 6

nitinjosephrepo/Building-Ecommerce-RFM-Model-With-Segementation

The “RFM” in RFM analysis stands for recency, frequency and monetary value. RFM analysis is a way to use data based on existing customer behavior to predict how a new customer is likely to act in the future.

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eiliaJafari/CIA-Country-Analysis-and-Clustering

Using K-means clustering, I will gain insights into similarity between countries and regions of the world by experimenting with different cluster amounts. What do these clusters represent?

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pppiyo/Vector_Quantization_Compression

Vector quantization compression for images using kmeans clustering algorithm.

Language: Java - Size: 388 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

singh-pawan/Netflix-Movies_TV-Shows-Clustering__Unsupervised-ML-

About Unsupervised Machine Learning-Netflix Recommender recommends Netflix movies and TV shows based on a user's favorite movie or TV show. It uses a a K-Means Clustering model to make these recommendations. These models use information about movies and TV shows such as their plot descriptions and genres to make suggestions.

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Wolverine-Shiva/Netflix-Movies_TV-Shows-Clustering__Unsupervised-ML-

Unsupervised Machine Learning-Netflix Recommender recommends Netflix movies and TV shows based on a user's favorite movie or TV show. It uses a a K-Means Clustering model to make these recommendations. These models use information about movies and TV shows such as their plot descriptions and genres to make suggestions.

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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

eliazonta/K-Means

K-Means clustering algorithm implementation with OpenMP

Language: C++ - Size: 370 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

caiocasagrande/mkt_campaign_clustering

Projeto de clusterização de clientes com base em campanhas de marketing. O projeto foi baseado no curso de Caio Avelino na Udemy: https://www.udemy.com/course/machine-learning-clusterizacao-com-python/

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Shefali-Upadhyaya/KMeans-Variants-Clustering-R

R codes for K-Means Clustering and Fuzzy K-Means Clustering, along with improved versions

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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.

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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

ManishShee24/Customer-Segmentation-using-KMeans-Clustering

Customer segmentation is the process of dividing a company's customers into groups based on common characteristics. The goal is to maximize the value of each customer to the business.

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

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

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Godspeed007/GroupIt

Using K-means algo to cluster the various video games.

Language: Python - Size: 96.7 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

oktaviacitra/cluster-analysis

Clustering data ruspini menggunakan k-means dan menganalisa cluster menggunakan variance

Language: Java - Size: 4.88 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

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

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SumanKOLKATA/K_Mean-clustering-Decision-Tree

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

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kalyaniasthana/GenomicDataScienceAndClustering_BioinformaticsV

coding problems from course 5 of the Bioinformatics specialization

Language: Python - Size: 3.91 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

MohamedSebaie/Algorithm-WorkShop-In_Python-ITI_Clustering_Project

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

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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.]

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TasneemKapadia/Machine-Learning-Projects

Machine Learning Projects

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vatsmanish/Machine-Learning

Machine learning agorithams

Language: Jupyter Notebook - Size: 5.53 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - 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

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.

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FatemehGholamzadeh/Data-Mining-Course-Assignments

Data Mining Course Assignments - Fall 2019

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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: over 7 years ago - Stars: 1 - Forks: 2

SiluPanda/k-means-clustering

Implementation of K-means clustering from scratch, image compression and decompression and analysis

Language: Python - Size: 7.84 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

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

eduanayardo/extract-color

This Python code uses the PIL (Pillow), NumPy, Matplotlib, and scikit-learn libraries to perform dominant color extraction from an image.

Language: Python - Size: 133 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ZhenyuWangg/Mall-Customers-Segmentation--Classification-using-Machine-Learning-

Utilized Python-based unsupervised machine learning algorithms, including K-Means and DBSCAN, to effectively segment the mall customer market.

Size: 780 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

NaumanAnwar97/kMeans_Silhoulttee_Score

K Means Clustering in R (Silhouttee Score)

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Mathurshab2210/Ml_with_Mathur

Here are some fun projects to learn ML using Handson approach

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lxaw/kmeansclustering-cpp

Let's get those centroids!

Language: C++ - Size: 339 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

taimoorzaeem/k-means-clustering 📦

Implemented K-means algorithm and used it for image compression.

Language: Jupyter Notebook - Size: 207 KB - Last synced at: 4 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

deva-246/APO-Agriculture-Production-Optimizer

Using Kmeans clustering and Logistic Regression Algorithm

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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

Saptarshi2120/Electric-Vehicle-Market-Segmentation

Performing Market Segmentation on different Electric Vehicles datasets by different data visualization techniques to gain insights and find underlying patterns

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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: about 1 month ago - Pushed at: almost 3 years ago - Stars: 10 - Forks: 1

ZishanSayyed/Kmean-Clustering

Language: R - Size: 7.81 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

rievaps/NBA2KWinRatePrediction

Win Rate Prediction by NBA 2K Ratings Data Analysis with K-Mean and DBSCAN Algorithm

Size: 1.73 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

amirzenoozi/image-color-analyzer

A Simple Color CLI Analyzer For Images

Language: Python - Size: 18.6 KB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

ParthKalkar/classification-clustering-machine-learning

Solve several tasks on classification and clustering.

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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

bhavyabhagerathi/Customer-Segmentation-System

Language: Jupyter Notebook - Size: 563 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Elzawawy/kmeans-image-clustering

K-Means clustering algorithm implementation in Python.

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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.

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nunuufdlh01/Airline-Customer-Value-Analysis

Airline Customer Value Analysis

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parallelo-ai/kmeans

kmeans algorithm with go

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