similarity: Similarity

In stschn/deepANN: Neural Network Toolbox

Similarity

Description

Similarity

Usage

similarity(x, y, type = c("jaccard", "tanimoto", "ruzicka"), ...)

Arguments

x	A numeric or logical vector.
y	A numeric or logical vector.
type	The type of the similarity measure.
...	Optional arguments.

Details

The following types of similarity measures are implemented:

• Jaccard: |x intersect y| / |x union y|

• Tanimoto:

• Ruzicka: \sum min(x_i, y_i) / \sum max(x_i, y_i)

Value

The similarity between x and y.

See Also

Other Utils: as_ANN_matrix(), degree(), distance(), list_as_numeric(), probability(), radian(), random_seed(), re.factor(), sd_pop(), var_pop(), vector_as_ANN_matrix(), vector_as_numeric()

Examples

  similarity(c(1L, 1L, 0L), c(0L, 1L, 1L), type = "jaccard", set = TRUE)
  similarity(c(1L, 1L, 0L), c(0L, 1L, 1L), type = "tanimoto")

stschn/deepANN documentation built on June 25, 2024, 7:27 a.m.