MyKmeans: Function that implements K-means algorithm.

In gargjhanvi/SSLLabelGuide: Classify what data points should be labelled(for training) based on budget constraints and very small or no labelled data for semi supervised learning, predict the labels of unlabelled data and determine the confidence of labelling them

Description

Function that implements K-means algorithm.

Usage

MyKmeans(X, K)

Arguments

X	n * p matrix of data points
K	Number of classes

Value

n vector of cluster labels

Examples

X <- matrix(c(12, 5, 2, 3, 1, 3, 4, 4, 2, 5, 5, 7), 4, 3)
MyKmeans(X, K = 2)
# output:
#      [,1] [,2] [,3] [,4]
# [1,]    1    2    2    2

gargjhanvi/SSLLabelGuide documentation built on Dec. 20, 2021, 9:48 a.m.