akmeans: Adaptive Kmeans algorithm based on threshold

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.

Author
Jungsuk Kwac
Date of publication
2014-05-09 00:47:43
Maintainer
Jungsuk Kwac <kwjusu1@stanford.edu>
License
GPL-2
Version
1.1

View on CRAN

Man pages

akmeans
Adaptive K-means algorithm with threshold setting
akmeans-package
Adaptive K-means
norm.sim.ksc
K-means algorithm based on cosine distance
norm.sim.ksc.center.update
Internal function in norm.sim.ksc
quick.norm
normalization function

Files in this package

akmeans
akmeans/NAMESPACE
akmeans/R
akmeans/R/quick.norm.R
akmeans/R/norm.sim.ksc.R
akmeans/R/akmeans.R
akmeans/R/norm.sim.ksc.center.update.R
akmeans/MD5
akmeans/DESCRIPTION
akmeans/man
akmeans/man/norm.sim.ksc.Rd
akmeans/man/quick.norm.Rd
akmeans/man/akmeans-package.Rd
akmeans/man/akmeans.Rd
akmeans/man/norm.sim.ksc.center.update.Rd