distance_euclidean_cpp {distantia} | R Documentation |
(C++) Euclidean Distance Between Two Vectors
Description
Computed as: sqrt(sum((x - y)^2)
. Cannot handle NA values.
Usage
distance_euclidean_cpp(x, y)
Arguments
x |
(required, numeric vector). |
y |
(required, numeric vector) of same length as |
Value
numeric
See Also
Other Rcpp_distance_methods:
distance_bray_curtis_cpp()
,
distance_canberra_cpp()
,
distance_chebyshev_cpp()
,
distance_chi_cpp()
,
distance_cosine_cpp()
,
distance_hamming_cpp()
,
distance_hellinger_cpp()
,
distance_jaccard_cpp()
,
distance_manhattan_cpp()
,
distance_russelrao_cpp()
,
distance_sorensen_cpp()
Examples
distance_euclidean_cpp(x = runif(100), y = runif(100))
[Package distantia version 2.0.2 Index]