Distances Dissimilarity Measures
From the Measure group, select the alternative that corresponds to your type of data (interval, count, or binary); then, from the drop-down list, select one of the measures that corresponds to that type of data. Available measures, by data type, are:
- Interval data. Euclidean distance, squared Euclidean distance, Chebychev, block, Minkowski, or customized.
- Count data. Chi-square measure or phi-square measure.
- Binary data. Euclidean distance, squared Euclidean distance, size difference, pattern difference, variance, shape, or Lance and Williams. (Enter values for Present and Absent to specify which two values are meaningful; Distances will ignore all other values.)
The Transform Values group allows you to standardize data values for either cases or variables before computing proximities. These transformations are not applicable to binary data. Available standardization methods are z scores, range –1 to 1, range 0 to 1, maximum magnitude of 1, mean of 1, or standard deviation of 1.
The Transform Measures group allows you to transform the values generated by the distance measure. They are applied after the distance measure has been computed. Available options are absolute values, change sign, and rescale to 0–1 range.
Choosing a Dissimilarity Measure
This feature requires the Statistics Base option.
- From the menus choose:
- With Dissimilarities selected, click Measures.
- From the Measure group, select the alternative that corresponds to your type of data.
- From the drop-down list, select a measure that corresponds to that type of measure.