Caleydo Clustering

This repository is a server-side plugin for Caleydo to apply clustering algorithms on arbitrary matrices.

A live version of this can be accessed here:

http://ec2-52-58-105-31.eu-central-1.compute.amazonaws.com/stratomex_clustering/

Supported Algorithms:

K-Means (Init methods: Forgy, Uniform, Random, Kmeans++)
Hierarchical Clustering (Single, Complete, Weighted, Median)
Affinity Propagation
Fuzzy Clustering
Various Distance Measurements(Euclidean, Chebyshef, Manhattan, Pearson, Spearman, ...)

General Information:

All these algorithms expect the input as matrix (or 2D numpy array)
It is assumed that the matrix is dense (no sparse matrix support right now)
NaN values will be converted to zero