predict.nearestCentroid {lolR}

Nearest Centroid Classifier Prediction

Description

A function that predicts the class of points based on the nearest centroid

Usage

## S3 method for class 'nearestCentroid'
predict(object, X, ...)

Arguments

object

An object 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.

X

[n, d] the data to classify with n samples in d dimensions.

...

optional args.

Value

Yhat [n] the predicted class of each of the n data point in X.

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)
Yh <- predict(model, X)