Last chance! 50% off unlimited learning
Sale ends in
Buy Now
Rdocumentation
powered by
Learn R Programming
RSKC (version 2.4.2)
Robust Sparse K-Means
Description
This RSKC package contains a function RSKC which runs the robust sparse K-means clustering algorithm.
Copy Link
Link to current version
Version
Version
2.4.2
2.4.1
2.3
2.2
2.1
2.0
1.0
Install
install.packages('RSKC')
Monthly Downloads
272
Version
2.4.2
License
GPL (>= 2)
Maintainer
Yumi Kondo
Last Published
August 28th, 2016
Functions in RSKC (2.4.2)
Search all functions
Sensitivity
Compute the sensitivities (probability of true positive) of each cluster
CER
Classification Error Rate (CER)
DutchUtility
Multiple Features Data Set of Robert P.W. Duin.
optd
Optical Recognition of Handwritten Digits of Frank A, Asuncion A (2010).
Clest
An implementation of Clest with robust sparse K-means. CER is used as a similarity measure.
DBWorld
E-mails from DBWorld mailing list
RSKC-internal
Internal RSKC functions
revisedsil
The revised silhouette