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