An implementation of K-Means algorithm in R

Data Mining Matlab files used as part of a class on Data Mining taught as part of the MSc. Data Science (2014) at Lancaster University.

Clustering toy datasets using K-means algorithm and Spectral Clusting algorithm

The most common algorithm uses an iterative refinement technique. Due to its ubiquity it is often called the k-means algorithm; it is also referred to as Lloyd's algorithm, particularly in the computer science community.

Implementation of various data mining algorithms in c++

A collection of Unsupervised Machine Learning algorithms in Ruby

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

Implement the K-means unsupervised learning algorithm. Utilized the simplified Iris dataset to test code.

iris and kdd cup 1999 classification

K-Mean clustering program in Java to cluster the data point into 4 clusters

2D k-means Python 2.7 module implemented in pure C

K-Means++ Clustering using Gap Statistic for determining optimal value of K in Python

Machine learning using python

K-Mean Algorithm simple demo

Some basic classification methods (Naive Bayes, Decision Trees, Nearest Neighbour, Perceptrons) implemented from scratch in Java

This is code for make classification using K-Means Method in Java

A Java program for clustering data with the k-means algorithm.

Data clustering algorithms implemented in Java with Strategy design pattern.

kmeans