• esProc
Tutorial
Function Reference
User Reference
External Library Guide
Data File Tool Manual
DQL Tutorial
Cluster Server Manager Manual
SPL WIN Manual
• YModel
User Reference
JSON-style Parameter Guide
• ReportLite
User Reference
• Official Website

# mnorm()

Description:

Normalize a matrix or a multidimensional matrix, during which the center value is 0 and the standard deviation is 1.

Syntax:

mnorm(A, n)

Note:

An external library function (See External Library Guide) where parameter n is the ordinal number of level on which the summarization is performed. If n is absent, the desired dimension is the first one whose size is not 1 in matrix A.

Parameter:

 A A matrix or a multidimensional matrix n A positive integer

Option:

 @s Handle the normalization using a statistical method where n-1 is the divisor

Return value:

A sequence

Example:

A

1

[[11,12,13],[21,22,23],[31,32,33]]

2

=mnorm(A1,1)

Normalize matrix A1’s first level, that is, normalization by column.

3

=mnorm(A1, 2)

Normalize matrix A1’s second level, that is, normalization by row.

4

=mnorm(A1)

Normalize matrix A1’s first level since parameter n is absent.

6

=mnorm@s(A1)

Normalization using the statistical method.

7

[[[111,112,113],[121,122,123],[131,132,133]],[[211,212,213],[221,222,223],[231,232,233]]]

Define a three-dimension matrix whose two members are 3*3 matrices.

8

=mnorm(A6, 1)

Normalize matrix A6’s first level, that is, normalization on the two member matrices in alignment.

9

=mnorm(A6, 2)

Normalize matrix A6’s second level, that is, normalization each of the two member matrices by column.