distance_chi_cpp: (C++) Normalized Chi Distance Between Two Vectors

In distantia: Advanced Toolset for Efficient Time Series Dissimilarity Analysis

(C++) Normalized Chi Distance Between Two Vectors

Description

Computed as: xy <- x + y y. <- y / sum(y) x. <- x / sum(x) sqrt(sum(((x. - y.)^2) / (xy / sum(xy)))). Cannot handle NA values. When x and y have zeros in the same position, NaNs are produced. Please replace these zeros with pseudo-zeros (i.e. 0.0001) if you wish to use this distance metric.

Usage

distance_chi_cpp(x, y)

Arguments

x	(required, numeric vector).
y	(required, numeric vector) of same length as x.

Value

numeric

See Also

Other Rcpp_distance_methods: distance_bray_curtis_cpp(), distance_canberra_cpp(), distance_chebyshev_cpp(), distance_cosine_cpp(), distance_euclidean_cpp(), distance_hamming_cpp(), distance_hellinger_cpp(), distance_jaccard_cpp(), distance_manhattan_cpp(), distance_russelrao_cpp(), distance_sorensen_cpp()

Examples

distance_chi_cpp(x = runif(100), y = runif(100))

distantia documentation built on April 4, 2025, 5:42 a.m.