Rdocumentation
powered by
Learn R Programming
class (version 7.3-23)
Functions for Classification
Description
Various functions for classification, including k-nearest neighbour, Learning Vector Quantization and Self-Organizing Maps.
Copy Link
Link to current version
Version
Version
7.3-23
7.3-22
7.3-21
7.3-20
7.3-19
7.3-18
7.3-17
7.3-16
7.3-15
7.3-14
7.3-13
7.3-12
7.3-11
7.3-10
7.3-9
7.3-8
7.3-7
7.3-6
7.3-5
7.3-4
7.3-3
7.3-2
7.3-1
7.3-0
Install
install.packages('class')
Monthly Downloads
26,672
Version
7.3-23
License
GPL-2 | GPL-3
Maintainer
Brian Ripley
Last Published
January 1st, 2025
Functions in class (7.3-23)
Search all functions
SOM
Self-Organizing Maps: Online Algorithm
lvq1
Learning Vector Quantization 1
batchSOM
Self-Organizing Maps: Batch Algorithm
knn1
1-Nearest Neighbour Classification
knn.cv
k-Nearest Neighbour Cross-Validatory Classification
condense
Condense training set for k-NN classifier
knn
k-Nearest Neighbour Classification
lvq2
Learning Vector Quantization 2.1
lvqinit
Initialize a LVQ Codebook
lvq3
Learning Vector Quantization 3
multiedit
Multiedit for k-NN Classifier
somgrid
Plot SOM Fits
olvq1
Optimized Learning Vector Quantization 1
reduce.nn
Reduce Training Set for a k-NN Classifier
lvqtest
Classify Test Set from LVQ Codebook