Multivariate data are routinely generated from various experiments performed across multiple disciplines. For example, in the field of biology, various types of data, ranging from microarray expressions, taxonomic abundance, functional potential, gene mutation frequency, etc., contribute to generation of such data types. Obtaining meaningful insights from these multivariate data is one of the major goals in visual data mining.