Using Maching Learning KMeans Algorithm to reduce image colors and compress

Cukatify is a music social media project

KMeans算法的Java实现及Python实现

Classical algorithm implementation.

电子科技大学 2020 级《数据挖掘与大数据分析》课程代码。

A simple clustering evaluation of KMeans for WEKA

周志华《机器学习》代码实现

Hierarchical K-means nD algorithm using Hadoop MapReduce.

kmeans

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

This package contains the code for executing clustering validity indices in Java by using K-means from Weka. The package includes the following clustering validity indices: Silhouette, Dunn, BD-Silhouette, BD-Dunn, Davies-Bouldin, Calinski-Harabasz, MaximumDiameter, SquaredDistance, AverageDistance, AverageBetweenClusterDistance, MinimumDistance.

Java Implementation of Machine-Learning Algorithms

For the purpose of classifying documents and finding the most similar ones for a given query.

Repository containing machine learning algorithms and datasets

k means using Hadoop library

Simple algorithm I used for clustering data in another project.

hidden markov model based music composition project

Hadoop Lab Programs

This repository contains the exercises I completed in the course of Artificial Intelligence Fundamentals. It covers topics such as agents, min and max, depth and breadth-first search, KNN, K-means, decision trees, and Prolog statements.

A java implementation of image segmentation using k-means clustering, an unsupervised machine learning algorithm