kmeans-clustering-algorithm | Topic

Topic: "kmeans-clustering-algorithm"

sboni2/Machine_Learning_Intern

Machine learning algorithms and the applications

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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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gautamgc17/TSF-Internship-Tasks

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

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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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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.

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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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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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surtecha/ClusterCraft

Implementation of k-means clustering algorithm from scratch.

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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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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.

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Aalaa4444/Hamming_Network

Hamming Network implementation using PCA implementation from scratch

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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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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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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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pppiyo/Vector_Quantization_Compression

Vector quantization compression for images using kmeans clustering algorithm.

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vaibhavdangar09/Online_Retail_Customer_Segmentation

The main objective of this project is to group customers with similar behavior and characteristics into segments to better understand their needs and preferences. The unsupervised machine learning techniques used in this project include K-means clustering ,hierarchical clustering and DBScan Clustering.

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eliazonta/K-Means

K-Means clustering algorithm implementation with OpenMP

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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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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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TasneemKapadia/Machine-Learning-Projects

Machine Learning Projects

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eduanayardo/extract-color

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

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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.

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NaumanAnwar97/kMeans_Silhoulttee_Score

K Means Clustering in R (Silhouttee Score)

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lxaw/kmeansclustering-cpp

Let's get those centroids!

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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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bhavyabhagerathi/Customer-Segmentation-System

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NeonOstrich/Cryptocurrency-Cluster-Analysis-with-K-Means-and-PCA

Used K Means and PCA to analyze 42 cryptocurrencies in order to determine the effect of price changes over different periods of time.

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AntonioLunardi/clusterizacao-clientes-sorveteria

Agrupamento (clusterização) de clientes por categorias geradas por k-means de sorveteria de Belho Horizonte

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Aabie/Segmentasi-Pelanggan-Penerbangan-Menggunakan-Metode-Clustering

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fasyamazaya/Case-Based-2_Project

Mata Kuliah : Machine Learning ( Pembelajaran Mesin )

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nehalbendale/Credit-card-data-clustering

EDA, Data analysis, data visualization, dealing with Missing values ,Outliers detection, PCA ,Kmeans clustering

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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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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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Swap-Nova/CyberAttack-Detection

Cyberattack Detection for network traffic using Neural networks. Implemented gradient descent-based method to generate adversarial samples against supervised learning models.

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rievaps/NBA2KWinRatePrediction

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

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srinathsai/Analyzing-clustering-with-pyspark

2 Famous algorithms called Kmeans and Kmeans++ are analyzed with pyspark without any inbuilt libraries.

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Alphaomegainfinity/unsupervised_machine_learning_predicting_myopia

Myopia Project: Using unsupervised machine learning to fit data into a model and using clustering algorithms to place data into groups. Then, create a visualisation to display a trend.

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Arvindhh931/Online-shoppers-intention

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paresh-bhagat/Biomedical-Image-Processing

Segmentation of Brain tumor from noisy images using various Filters and Segmentation algorithms using Matlab.

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Billie-LS/ex_machina_crypto_learn

FinTech Mod 10- assembling investment portfolios based on cryptocurrencies; Jupyter notebook that clusters by performance in different time periods.

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Arshdeep-Singh-01/Bag-of-Features-based-Matching-on-MNIST-fashion-database

Bag of words-based matching/categorization solutions on the MNIST-fashion database.

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lilyhanhub/Weather_Data_Analysis

Data Analytics/Visualization Bootcamp Group Project

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AboNady/K_Means_From_Scratch

An implementation of the basic idea of K-Means from scratch.

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helyousfi/Machine-learning

This repo contains machine different learning algorithms.

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taimoorzaeem/k-means-clustering 📦

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

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CubatLin/TBrain-E.SUN-AI-Open-Competition-Fall-2019-15th-place-Feature-Engineering

玉山銀行人工智慧公開挑戰賽-2019秋季賽-真相只有一個-信用卡盜刷偵測 - Top1% Feature Engineering

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OssaMajali/Customer-Segmentation

Customer Segmentation

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duli-eng/KMeans_sklearn

Language: Python - Size: 2.93 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

ivalada/KMeans-Manual-and-Sklearn-Implementations

Implementation of KMeans clusterization algorithm in Python using Pandas, NumPy and Scikit-Learn.

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rajimuth/Cryptocurrencies

Unsupervised Machine Learning for Cryptocurrency Analysis

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Abinaya1702/Vehicles_dataAnalysis

Vehicles dataset is analyzed using R programming language.

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roshancyriacmathew/K-means-Clustering-Implementation

K means clustering implementation on the wine quality dataset

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guptasaumya/coursera-capstone-part1

Toronto City Neighbourhoods Segmentation and Clustering.

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ritvik-garg/ML_algorithms_from_scratch_2.0

ML Algorithms from scratch

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ParthKalkar/classification-clustering-machine-learning

Solve several tasks on classification and clustering.

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Rakan-z/KCL-DS-Assignments-MSc

This repository consists of folders which include some of the courseworks I have completed in my Data Science MSc at KCL.

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erickmp07/cluster-people

K-means clustering algorithm to group people who live close to each other.

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shobhit10058/Machine_learning_assignment_2

k_means clustering implementation

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aolayeye/Clustering_Cryptocurrencies

Implementing K-Means clustering on a cryptocurrency dataset

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sumit0072/Coursera_Capstone

This repository contains Capstone Project of IBM Data Science Professional Certificate.

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tranhlok/k-means 📦

Python simulation code for k means algorithm.

Language: Python - Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

sumit0072/GRIP-Task

This repository contains tasks performed in Graduate Rotational Internship Program at The Spark Foundation.

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purvit-vashishtha/Clustering

Code for implementing KMeans and Hierarchical Clustering.

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UKMIITB/KMeansClustering

Python implementation of KMeans clustering algorithm on tif images

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ranjiGT/AnalyticalEuclideanKmeans

R script for performing k-means clustering with k=3 using Euclidean distance metric

Language: R - Size: 294 KB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

ranjiGT/pupil-grouping-intermediate-examinations

Grouping pupils according to the performance at two intermediate examinations

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vmieres/Amazon-Web-Services

This repo is about Clustering cryptocurrencies. Using AWS SageMaker and S3.

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gonultasbu/color-k-means

A simple k means classifier for rgb images without sklearn.

Language: Python - Size: 15.6 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

fraxhost/ImagePixelClustering_Kmeans

Implemented the K-Means Clustering Algorithm. This project can cluster pixels of a similar kind together.

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wonderyue/KMeans-Compression

KMeans

Language: Python - Size: 3.64 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

Marslanali/cpp-kmeans-clustering

C++ implementation of kmeans clustering algorithm.

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RyanLBuchanan/K-Means_Clustering

K-Means Clustering Algorithm tutorial from Machine Learning A-Z - SuperDataScience -> Input by Ryan L Buchanan 06OCT20

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ZishanSayyed/Kmean-Clustering

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Korag/K_Means_Clustering

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

rupalshrivastava/Unsupervised-Learning

Performed feature dimensionality reduction algorithms including feature selection, PCA, ICA, and Randomized Projections. Implemented K means, and Expectation Maximization for classification clustering problems. Compared both the algorithms' results with ANN.

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JalajVora/Implementating-kmeans-for-categorizing-safe-states-in-USA

This project is done as part of course entitled Business Intelligence and Data Mining provided at Dr. Jivraj Mehta Institute of Technology for students of B.Engg. in Computer Science and Engineering. This project implements k-Means, an unsupervised Data Mining algorithm to cluster states of USA being Safe, Moderate or Critical. The dataset from FBI was used as ground truth.

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