HdbscanA high performance implementation of HDBSCAN clustering.
Clustering-in-PythonClustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.
ClusteringImplements "Clustering a Million Faces by Identity"
genieclustGenie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R
ST-DBSCANImplementation of ST-DBSCAN algorithm based on Birant 2007
clopeElixir implementation of CLOPE: A Fast and Effective Clustering Algorithm for Transactional Data
clustersCluster analysis library for Golang
adenineADENINE: A Data ExploratioN PipelINE
scedarSingle-cell exploratory data analysis for RNA-Seq
kmppk-means clustering algorithm with k-means++ initialization.
Statistical-Learning-using-RThis is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.
Clustering4EverC4E, a JVM friendly library written in Scala for both local and distributed (Spark) Clustering.