A simple python implementation of Fuzzy C-means algorithm.

A Python 2 implementation of Fuzzy C Means Clustering algorithm.

A simple C# class using Watson TCP to enable a one-to-one high availability cluster.

A R framework for pipeline benchmarking, with application to single-cell RNAseq

Single cell type annotation guided by cell atlases, with freedom to be queer

k-means clustering in Ruby

Rcpp Machine Learning: Fast robust NMF, divisive clustering, and more

COVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools

A Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

Cluster management for Discord bots using the Eris library.

Implementation of a Quantum inspired genetic algorithm proposed by A quantum-inspired genetic algorithm for k-means clustering paper.

Misc Statistics and Machine Learning codes in R

Heart Disease prediction using 5 algorithms

Hazelcast .NET Client

C4E, a JVM friendly library written in Scala for both local and distributed (Spark) Clustering.

SyncFlux is an Open Source InfluxDB Data synchronization and replication tool for migration purposes or HA clusters

You know, for (PostgreSQL) search

Fuzzy c-means Clustering

Dirichlet Process K-means