ETcVnNormalizationType
Offers normalization types.
Syntax
Definition:
TYPE ETcVnNormalizationType :
(
TCVN_NT_INF := 1,
TCVN_NT_L1 := 2,
TCVN_NT_L2 := 4,
TCVN_NT_L2SQR := 5,
TCVN_NT_HAMMING := 6,
TCVN_NT_HAMMING2 := 7,
TCVN_NT_RELATIVE_INF := 9,
TCVN_NT_RELATIVE_L1 := 10,
TCVN_NT_RELATIVE_L2 := 12,
TCVN_NT_RELATIVE_L2SQR := 13,
TCVN_NT_RELATIVE_HAMMING := 14,
TCVN_NT_RELATIVE_HAMMING2 := 15,
TCVN_NT_MINMAX := 32
)DINT;
END_TYPE
Values
|
Name |
Description |
|---|---|
|
TCVN_NT_INF |
Infinity norm |
|
TCVN_NT_L1 |
L1 norm |
|
TCVN_NT_L2 |
L2 (euclidean) norm |
|
TCVN_NT_L2SQR |
Squared L2 norm |
|
TCVN_NT_HAMMING |
Hamming distance (bitwise) |
|
TCVN_NT_HAMMING2 |
Hamming distance (each 2 bits combined to one) |
|
TCVN_NT_RELATIVE_INF |
Infinity norm (when comparing 2 arrays, the norm of their difference is divided by the norm of the second array) |
|
TCVN_NT_RELATIVE_L1 |
L1 norm (when comparing 2 arrays, the norm of their difference is divided by the norm of the second array) |
|
TCVN_NT_RELATIVE_L2 |
L2 (euclidean) norm (when comparing 2 arrays, the norm of their difference is divided by the norm of the second array) |
|
TCVN_NT_RELATIVE_L2SQR |
Squared L2 norm (when comparing 2 arrays, the norm of their difference is divided by the norm of the second array) |
|
TCVN_NT_RELATIVE_HAMMING |
Hamming distance (bitwise; when comparing 2 arrays, the norm of their difference is divided by the norm of the second array) |
|
TCVN_NT_RELATIVE_HAMMING2 |
Hamming distance (each 2 bits combined to one; when comparing 2 arrays, the norm of their difference is divided by the norm of the second array) |
|
TCVN_NT_MINMAX |
Normalize the values to a range given by a minimum and a maximum value. |