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

电子科技大学 2020 级《数据挖掘与大数据分析》课程代码。

Classical algorithm implementation.

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.

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

k means using Hadoop library

Java Implementation of Machine-Learning Algorithms

Simple algorithm I used for clustering data in another project.

Hadoop Lab Programs

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

Estimating the number of clusters in a data set via the gap statistic. Implemented in H2O-3

Implementation of K-means, Decision Tree and MIDOS

Clustering text files on Hadoop using an inverted index and k-means.