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

Description

Predict k-means clustering; provide labels for all observations. Returns data frame containing new data and clustering label for each data point

Usage

predict(data, centroids)

Arguments

data Data frame. Attributes as columns and data points as rows. Data without cluster labels centroids Data frame containing centroids

Example

predict(test_data, tibble(c(1,2), c(2,3)))

Details

This package implements the classical unsupervised clustering method, k-means, with options for choosing the initial centroids (e.g. random and kmeans++). Users will be able to find clusters in their data, label new data, and observe the clustering results.

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