mandist
Manhattan distance weight function
Description
takes an Z
= mandist(W
,P
)S
-by-R
weight matrix, W
,
and an R
-by-Q
matrix of Q
input
(column) vectors, P
, and returns the
S
-by-Q
matrix of vector distances,
Z
.
mandist
is the Manhattan distance weight function. Weight functions
apply weights to an input to get weighted inputs.
mandist
is also a layer distance function, which can be used to find
the distances between neurons in a layer.
Examples
Input Arguments
Output Arguments
More About
Algorithms
The Manhattan distance D
between two vectors X
and
Y
is
D = sum(abs(x-y))
Version History
Introduced before R2006a