How to show GMM manual computation with MATLAB

how i can get this result from RGB color with gaussian mixture model(GMM) computation in MATLAB?

like this output example:

=======================
***** iteration 1 *****

R:90 G:150 B:40

-= CHECK AND UPDATE =-
check with GMM 1
-179.056942<90<-20.943058 --> not in range
update weight GMM 1 : 0.099000

check with GMM 2
-179.056942<90<-20.943058 --> not in range
update weight GMM 2 : 0.099000

check with GMM 3
-179.056942<90<-20.943058 --> not in range
update weight GMM 3 : 0.099000

check with GMM 4
-179.056942<90<-20.943058 --> not in range
update weight GMM 4 : 0.099000

check with GMM 5
-179.056942<90<-20.943058 --> not in range

make new model :
mean R:90 mean G:150 mena B:40
weight: 0.100000
varian: 100.000000
update weight GMM 5: 0.109000
valaue GPD GMM 5: 0.000001

update mean GMM 5:
R:90.000000 G:150.00000 B:40.000000
update variance GMM 5: 99.999936

-= NORMALIZE WeiGHt =-
before:        after:
weight GMM 1: 0.099000    weight GMM 1: 0.196040
weight GMM 2: 0.099000    weight GMM 2: 0.196040
weight GMM 3: 0.099000    weight GMM 3: 0.196040
weight GMM 4: 0.099000    weight GMM 4: 0.196040
weight GMM 5: 0.099000    weight GMM 5: 0.215842

-= SORT MODEL (WEIGHT/VARIANCE) =-
before:        after:
GMM 1: 0.000196      GMM 1: 0.002158
GMM 2: 0.000196      GMM 2: 0.000196
GMM 3: 0.000196      GMM 3: 0.000196
GMM 4: 0.000196      GMM 4: 0.000196
GMM 5: 0.002158      GMM 5: 0.000196

-=CHOOSE FIRST BACKGROUND/B MODEL (Threshold/T=0.700000) =-
B=1
total weight: 0.215842 > 0.700000 ? = N
B=2
total weight: 0.411881 > 0.700000 ? = N
B=3
total weight: 0.607921 > 0.700000 ? = N
B=4
total weight: 0.803960 > 0.700000 ? = N

=======================
***** iteration 1 *****

R:90 G:150 B:40

AND SO ON

[Adam]

What is the question exactly?