An R Package for Bayesian Nonparametric Clustering. We plan to implement several models.

Data clustering algorithm based on agglomerative hierarchical clustering (AHC) which uses minimum volume increase (MVI) and minimum direction change (MDC) clustering criteria.

A data clustering package based on admixture ratios (Q matrix) of population structure analysis.

Quizzes & Assignment Solutions for Machine Learning Specialization on Coursera. Also included a few resources on side that I found helpful.

An implementation of OPTICS Algorithm

Machine learning algorithms to perform data clustering

Implementation of k-means algorithm for data clustering

Recursive Multi-view Integration for Subtypes Identification

A simplified algorithm to cluster mixed-type data(numerical and categorical).

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

A python implementation of the PSR-MST Data Clustering.