Algorithm 2 K-means clustering algorithm for raw data and variability data.

1: Initialize K randomly in the centroid points 2: Repeat 3: Calculate distance between each raw or variability data and centroid raw or variability data 4: if the variability is close to centroid raw or variability data, move to the same centroid raw or variability data    else repeat steps 2 and 3