# 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 *p*th root of the sum of the absolute differences
to the *p*th power between the
values for the items.

**Customized.** The *r*th root of the sum of the absolute differences
to the *p*th power between the
values for the items.