fastbapsA fast approximation to a Dirichlet Process Mixture model (DPM) for clustering genetic data
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.
graphgroveA framework for building (and incrementally growing) graph-based data structures used in hierarchical or DAG-structured clustering and nearest neighbor search
genieclustGenie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R
NeuroSEEDImplementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch (NeurIPS 2021)
adjclustAdjacency-constrained hierarchical clustering of a similarity matrix
hierarchical-clusteringA Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.
deepvismachine learning algorithms in Swift