fit: Compute k-means clustering

In UBC-MDS/ssgkmeansr: An R package for k-means clustering

Description

Build clusters and save cluster attributes with random selection or k-means ++ centroid initialization

Usage

fit(data, K, method = "random")

Arguments

data	A data frame with attributes as columns and data points as rows
K	Number of clusters
method	Centroid initialization method. 'random' or 'kmpp'

Value

List containing: 1. data frame of the attributes and clustering for each data point; 2.total within cluster sum of square; 3. data frame of k centroids

UBC-MDS/ssgkmeansr documentation built on May 25, 2019, 1:36 p.m.