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Description

An implementation of the kmeans clustering algorithm based on the vector package.

Provides a simple (but efficient) implementation of the k-means clustering algorithm. The goal of this algorithm is to, given a set of n-dimensional points, regroup them in k groups, such that each point gets to be in the group to which it is the closest to (using the center of the group).

Metadata

Version

0.3.2

Platforms (75)

    Darwin
    FreeBSD
    Genode
    GHCJS
    Linux
    MMIXware
    NetBSD
    none
    OpenBSD
    Redox
    Solaris
    WASI
    Windows
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