This book offers an original and broad exploration of the fundamental methods in Clustering and
Combinatorial Data Analysis presenting new formulations and ideas within this very active
field.With extensive introductions formal and mathematical developments and real case studies
this book provides readers with a deeper understanding of the mutual relationships between
these methods which are clearly expressed with respect to three facets: logical combinatorial
and statistical.Using relational mathematical representation all types of data structures can
be handled in precise and unified ways which the author highlights in three stages:Clustering a
set of descriptive attributesClustering a set of objects or a set of object categories
Establishing correspondence between these two dual clusterings Tools for interpreting the
reasons of a given cluster or clustering are also included.Foundations and Methods in
Combinatorial and StatisticalData Analysis and Clustering will be a valuable resource for
students and researchers who are interested in the areas of Data Analysis Clustering Data
Mining and Knowledge Discovery.
