From Prebase in Automata Theory to Data Analysis: Boris Mirkin’s Way

At the Google Scholar, links to Boris’s books alone exceed 5000. In addition to Boris Mirkin’s starting Ph.D. results in abstract automata, Mirkin’s innovative contributions in various fields of decision-making theory and practice have marked the fourth quarter of the twentieth century and beyond. Boris has done pioneering work in group choice, mathematical psychology, clustering, datamining and knowledge discovery. Here is the list of notions and terms that have been introduced or heavily explored by B. Mirkin: Anomalous cluster, Bi-cluster, Categorical factor analysis, Chain order partition, Complementary partition criterion, Core-shell cluster, Data recovery approach, Distance between partitions, Federation consensus rule, Generalization in taxonomy, Interval order, Linear stratification, Mapping between evolutionary trees, Minkowski weighted feature clustering, Parsimonious gene history reconstruction, Single cluster clustering, Structured partition, Prebase (in automata theory), Taxonomic rank of research results, Tri-clustering.