kmeans_outlier: Detects outliers using k-means clustering

In zbeaver4/beavR: Useful and Reusable R Functions from Past Projects

Description

Given a data.frame, determines which points lie furthest away from their cluster centroids

Usage

kmeans_outlier (df, cluster_max = 10, percentile = 95, k_scale = T, skip = c())

Arguments

df:	data.frame over which to run the algorithm
cluster_max:	the maximum number of clusters to test for providing feedback to the user
percentile:	the distance percentile in order to be deemed an outlier?
scale:	whether or not to scale the inputs
skip:	characer vector of which columns the algorithm should skip

zbeaver4/beavR documentation built on May 4, 2019, 9:12 p.m.