Correlation matrix is obtained using only the features, which have strong correlation with SUV_max features.

<p>The resultant correlation values are used in hierarchical clustering algorithm to show the detail relationships of the feature sets. Again correlation values are running from R = −1 negative correlation (white) to R = 1 positive correlation (blue).