I got the features of some sound variables with MFCC Algorithm. I want to cluster them with K-Means. I have 70 frames and every frame has 9 cepstral coefficients for one voice sample. It means that I have something like a 70\*9 size matrix.

Let's assume that A, B and C are the voice records so 

A is:

```
List<List<Double>> -> 70*9 array (I can use Vector instead of List)

```

and also B and C has same lengths too.

I don't want to cluster each frame, I want to cluster each frame block(at my example one group has 70 frames).

How can I implement it with K-Means at Java?