Title: Classification, clustering, and data mining applications
First published: 2004
Description: Modern data analysis stands at the interface of statistics, computer science, and discrete mathematics. This volume describes new methods in this area, with special emphasis on classification and cluster analysis. Those methods are applied to problems in information retrieval, phylogeny, medical diagnosis, microarrays, and other active research areas.
Subjects: Congresses, Cluster analysis, Mathematical statistics, Pattern perception, Information systems, Statistics, Computer science, Data structures (Computer science), Data mining, Statistical Theory and Methods, Probability and Statistics in Computer Science, Information Systems and Communication Service, Data Structures, Statistics for Life Sciences, Medicine, Health Sciences
LC classification: QA278 .I53 2004, QA278 .I53 2004