Dissimilarity Matrix for Mixed Data

Gower's distance, also called Gower's coefficient, is an appropriate metric for computing pairwise dissimilarities between observations when different types occur in the same data set (e.g. nominal, ordinal, (a)symmetric binary). The output of this function includes a proximity matrix as well as a network graph in order to quickly visualize dissimilarities between objects.

For data sets with a single data type, you can use the XLSTAT function Similarity/Dissimilarity matrices.

The Dissimilarity matrix for mixed data function implemented in XLSTAT-R calls the daisy function from the cluster package in R (Martin Maechler, Peter Rousseeuw, Anja Struyf, Mia Hubert).

Matrix

About KCS

Kovach Computing Services (KCS) was founded in 1993 by Dr. Warren Kovach. The company specializes in the development and marketing of inexpensive and easy-to-use statistical software for scientists, as well as in data analysis consulting.

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