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akmeans (version 1.1)

Adaptive Kmeans algorithm based on threshold

Description

Adaptive K-means algorithm with various threshold settings. It support two distance metric: Euclidean distance, Cosine distance (1 - cosine similarity) In version 1.1, it contains one more threshold condition.

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Version

Install

install.packages('akmeans')

Monthly Downloads

18

Version

1.1

License

GPL-2

Maintainer

Jungsuk Kwac

Last Published

May 8th, 2014

Functions in akmeans (1.1)

akmeans-package

Adaptive K-means
akmeans

Adaptive K-means algorithm with threshold setting
quick.norm

normalization function
norm.sim.ksc

K-means algorithm based on cosine distance
norm.sim.ksc.center.update

Internal function in norm.sim.ksc