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.