lol.classify.nearestCentroid: Nearest Centroid Classifier Training

In lolR: Linear Optimal Low-Rank Projection

Description

A function that trains a classifier based on the nearest centroid.

Usage

lol.classify.nearestCentroid(X, Y, ...)

Arguments

X	[n, d] the data with n samples in d dimensions.
Y	[n] the labels of the n samples.
...	optional args.

Value

A list of class nearestCentroid, with the following attributes:

centroids	[K, d] the centroids of each class with K classes in d dimensions.
ylabs	[K] the ylabels for each of the K unique classes, ordered.
priors	[K] the priors for each of the K classes.

Details

For more details see the help vignette: vignette("centroid", package = "lolR")

Author(s)

Eric Bridgeford

Examples

library(lolR)
data <- lol.sims.rtrunk(n=200, d=30)  # 200 examples of 30 dimensions
X <- data$X; Y <- data$Y
model <- lol.classify.nearestCentroid(X, Y)

Example output

Registered S3 methods overwritten by 'robust':
  method              from      
  plot.covfm          fit.models
  print.covfm         fit.models
  summary.covfm       fit.models
  print.summary.covfm fit.models
rlm is already registered in the fit.models registry
covfm is already registered in the fit.models registry

lolR documentation built on July 8, 2020, 7:35 p.m.