Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Library: xclust
See also: distance mat2vec

Macro: lpdist
Description: computes the so-called Lp-distances between the rows of a data matrix. In the case p=1 (absolute metric) or p=2 (euclidean metric) one should favour the function DISTANCE.

Usage: d = lpdist(x, q, p)
Input:
x n x m matrix
q m x 1 matrix of non-negative weights of columns
p scalar parameter (p>0) of the Lp-metric
Output:
d n(n-1)/2 x 1 matrix of paired distances between the n row points (the sequence of distances is described in AGGLOM)

Example:
; load the library xclust
library ("xclust")
; generate some data
x = #(0, 0, 1, 1)~#(0, 1, 0, 1)
; column weights
q = #(1, 1)
; apply euclidean metric
lpdist (x, q, 2)
Result:
Content of object d
[1,]        1 
[2,]        1 
[3,]   1.4142 
[4,]   1.4142 
[5,]        1 
[6,]        1 

Library: xclust
See also: distance mat2vec

Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Author: Hans-Joachim Mucha, 941111 Sigbert Klinke, 970902
(C) MD*TECH Method and Data Technologies, 17.8.2000