Multidimensional Scaling Dissimilarity Measures for Interval Data

The following dissimilarity measures are available for interval data:

Euclidean distance. The square root of the sum of the squared differences between values for the items. This is the default for interval data.

Squared Euclidean distance. The sum of the squared differences between the values for the items.

Chebychev. The maximum absolute difference between the values for the items.

Block. The sum of the absolute differences between the values of the item. Also known as Manhattan distance.

Minkowski. The pth root of the sum of the absolute differences to the pth power between the values for the items.

Customized. The rth root of the sum of the absolute differences to the pth power between the values for the items.