classify: classify

In emuR: Main Package of the EMU Speech Database Management System

classify

Description

classifies data

Usage

classify(data, train, metric = "bayes")

Arguments

data	data to classify
train	training data
metric	bayes or mahal

Value

The classification matrix.

Author(s)

Jonathan Harrington

Examples

## The function is currently defined as
function (data, train, metric = "bayes") 
{
    probs <- distance(data, train, metric = metric)
    if (metric == "bayes") {
        best <- apply(probs, 1, max)
    }
    else if (metric == "mahal") {
        best <- apply(probs, 1, min)
    }
    result <- rep("", length(best))
    for (lab in 1:length(train$label)) {
        tmp <- probs[, lab] == best
        result[tmp] <- train$label[lab]
    }
    result
  }

emuR documentation built on Nov. 4, 2023, 1:06 a.m.