lol.classify.nearestCentroid: Nearest Centroid Classifier Training
In neurodata/lol: Linear Optimal Low-Rank Projection

Description Usage Arguments Value Details Author(s) Examples

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

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

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

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.

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

Eric Bridgeford

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)