7

Sum average

SUMAV

${\displaystyle \sum }_{k=2}^{2N_G}k\cdot P_{x+y}\left(k\right)$

8

Sum entropy

SUMEN

$-{\displaystyle \sum }_{k=2}^{2N_G}{P}_{x+y}\left(k\right)\cdot \log \left[P_{x+y}\left(k\right)\right]$

9

Sum variance

SUMVA

${\displaystyle \sum }_{k=2}^{2N_G}{\left(k-{\mu }_{x+y}\right)}^2\cdot P_{x+y}\left(k\right)$

10

Difference variance

DIFFVA

${\displaystyle \sum }_{k=0}^{N_G-1}{\left(k-{\mu }_{x-y}\right)}^2\cdot P_{x-y}\left(k\right)$

11

Difference entropy

DIFFEN

$-{\displaystyle \sum }_{k=0}^{N_G-1}{P}_{x-y}\left(k\right)\cdot \log \left[P_{x-y}\left(k\right)\right]$

12

Information measure of correlation 1

INFO1

$HXY-HXY1/Max\left(HX,HY\right)$

13

Information measure of correlation 2

INFO2

${\left[1-\exp \left(-2\cdot HXY2+2\cdot HXY\right)\right]}^{1/2}$

14

Maximum correlation

MAXCOR

[Second largest eigenvalue of Q]^1/2

Sohfeatures [18]

15

Autocorrelation

AUTO

${\displaystyle \sum }_{i=1}^{N_G}{\displaystyle \sum }_{j=1}^{N_G}i\cdot j\cdot P\left(i,j\right)$

16

Dissimilarity

DISSI

${\displaystyle \sum }_{i=1}^{N_G}{\displaystyle \sum }_{j=1}^{N_G}\left|i-j\right|\cdot P\left(i,j\right)$

17

Maximum probability

MAXIP

$Max\left(P\left(i,j\right)\right)\forall \left(i,j\right)\in \left(N_G,N_G\right)$

18

Cluster shade

CLUSHA

${\displaystyle \sum }_{i=1}^{N_G}{\displaystyle \sum }_{j=1}^{N_G}{\left(i+j-{\mu }_x-{\mu }_y\right)}^3\cdot P\left(i,j\right)$

19

Cluster prominence

CLUSPRO

${\displaystyle \sum }_{i=1}^{N_G}{\displaystyle \sum }_{j=1}^{N_G}{\left(i+j-{\mu }_x-{\mu }_y\right)}^4\cdot P\left(i,j\right)$

Clausi features [19]

20

Inverse difference

INVDIF

${\displaystyle \sum }_{i=1}^{N_G}{\displaystyle \sum }_{j=1}^{N_G}\frac{P\left(i,j\right)}{1+\left|i-j\right|}$