The first version working:

Text2Vectors.class
command line:
bin\mallet import-dir --input sample-data\web\an --output autorial.mallet --keep-sequence --remove-stopwords
"Generate autorial.mallet from folder sample-data\web\an"

"Call LDA Parallel topic model then call KMeans cluster"
Vectors2Cluser.class
arguments:
--input C:\Mallet\autorial.mallet --num-topics 20 --optimize-interval 20 --output-doc-topics add_compostion.txt

Can see reasonable cluster result!

Prob:
Now fixed topic number to 20 in VectorStates.java which is absolutely wrong. As still can't handle getDataAlphabet well. NEED TO BE FIXED SOON!