Analyse exploratoire par k-Coclustering avec Khiops CoViz
Abstract
Identifying and visually analyzing interesting interactions between variables in large-scale
data sets through k-coclustering is of high importance. We present Khiops CoViz, a tool for
visual analysis of interesting relationships between two or more variables (categorical and/or
numerical). The visualization of k variables coclustering takes the form of a grid/matrix whose
dimensions are partitioned: categorical variables are grouped into clusters and numerical variables
are discretized. The tool allows several kinds of visualization at various scales for grid
representation of coclustering results by means of several criteria each of which providing
different insights into the data.