lof: LOF Outlier score calculation

In lenaWitterauf/rElki: An R interface to Java package ELKI (Version 0.7.5)

Description

lof returns the LOF Outlier score for every observation in the given data_matrix. LOF is short for Local Outlier Factor.

Usage

lof(data_matrix, k)

Arguments

data_matrix	numeric Matrix containing data the outlier score is calculated for. Rows are treated as observations, columns as features.
k	Number. Neighbourhood-size used to calculate outlier scores.

Value

List of outlier scores. The score at position x belongs to the observation given in row x of the original data_matrix.

See Also

https://elki-project.github.io/releases/release0.7.5/javadoc/de/lmu/ifi/dbs/elki/algorithm/outlier/lof/LOF.html for ELKI documentation.

Examples

data_matrix <- matrix(c(1:30), nrow=10, ncol=3)
result      <- lof(data_matrix, 3)
for(index in c(1:10)) {
    print(paste('Observation:', paste(data_matrix[index,], collapse=',')))
    print(paste('Score:',       result[index]))
}

lenaWitterauf/rElki documentation built on June 2, 2020, 9:24 p.m.