simplified_lof: Simplified LOF Outlier score calculation
In lenaWitterauf/rElki: An R interface to Java package ELKI (Version 0.7.5)

Description Usage Arguments Value See Also Examples

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

1	simplified_lof(data_matrix, k)

`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.

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

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

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