k-means-algorithm

stefonalfaro/AI-as-a-Service

An API for managing chat completions, fine-tuning, payments, plans, and configurations.

KhaledAshrafH/K-Means-Clustering

This program implements the K-means clustering algorithm using OpenMP APIs. The K-means algorithm is a popular method of vector quantization that aims to partition n observations into k clusters. Each observation is assigned to the cluster with the nearest mean, serving as a prototype of the cluster.

aibysalman/CustomerSegmentationViaK-means

In this Python notebook, we explore how K-Means can be used for customer segmentation to gain a competitive advantage and improve a business's bottom line.

deepanshu-Raj/K-Means-Agorithm-Implementation

This repo contains the Implementation of K-Means Clustering Algorithm from scratch and an Image Segmentation Project, implemented using the same algorithm.

AmirMotefaker/Customer-Segmentation-using-R

Customer Segmentation using R

exTerEX/kmeans

A C implementation of K-Means clustering algorithm with Python bindings

ialexmp/Machine-Learning

This Machine Learning repository encompasses theory, hands-on labs, and two projects. Project 1 analyzes customer segmentation for marketing using clustering, while Project 2 applies supervised classification in marketing and sales.

kkeyan931/Machine-Learning

This Repo contains various Machine learning Algorithm including Linear regression, Logistic regression, Neural Networks, SVM, Clustering algorithms, K-means Algorithm, Anomaly detection, and Recommander system etc...

binhvu3/Salmon-Analysis

Predict Alaska's Salmon population using various Machine Learning models

Cluster-Team/Cluster-Visualizer

Cluster Visualization Tool

hrishivib/k-means-iris-MNIST-classification

K-means algorithm is implemented from scratch for clustering on iris dataset and MNIST dataset.

KlimentLagrangiewicz/k-means-in-C

Implementation of k-means algorithm in C (standard C89/C90, K&R code style)

KlimentLagrangiewicz/k-means-in-Zig

An implementation of k-means algorithm in Zig

mohkharma/k-means-algorithm

The K -Means algorithm implementation from scratch in Python based on Euclidean distance

munno88/Cryptocurrencies

An analysis using unsupervised Machine Learning algorithm to discover unknown patterns

red-dragon65/QtMovieSearch

A movie recommendation engine built with python and a Qt GUI.

shourya-gupta/Parallel-K-Means-Algorithm

Parallel-K-Means-Algorithm

aarshg28/Classification-and-Action-Rule-Extraction-using-Fragile-State-Index

We calculate how a country should shift from alert to a warning condition using Action-Rules. This focus also emphasizes the importance of each dataset attribute in generating the country's fragile state index.

Abir0810/COVID-19-unsupervised-learning

Unsupervised learning algorithms are used here. agglomerative algorithms and k-means clustering are used here.

aryanGupta-09/Kmeans-using-MapReduce

K-means clustering algorithm using MapReduce.

christybell/Cryptocurrencies

In this project, I used unsupervised machine learning techniques to analyze cryptocurrency data.

kosmios1/img-segmentation

KWASSI09/unsupervised-machine_learning

Mohansharmila/Office-furniture-analysis-using-Rstudio

In this two cluster approaches are used: hierarchical clustering and K-means clustering. It is unsupervised learning technique for grouping related data points which shows same behaviour in the dataset regardless of the outcome.