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.
relational mathematical representation, all types of data structures can be
handled in precise and unified ways which the author highlights in three stages:
interpreting the reasons of a given cluster or clustering are also included.
Foundations and Methods in Combinatorial and
Statistical Data 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.