Author: Publisher:
ISBN:
Category : Classification
Languages : en
Pages : 136
Book Description
Classification Literature Automated Search Service
Author: Classification literature automated search service
Author: William H. E. DayClassification literature automated search service 1987
Author: William H.E. DayClassification Literature Automated Search Service 1990
Author: William H.E. DayClassification Literature Automated Search Service 1989
Author: William H.E. DayClassification Literature Automated Search Service 1993
Author: F. MurtaghClassification Literature Automated Search Service 1991
Author: William H.E. DayClustering And Classification
Author: Phips ArabiePublisher: World Scientific
ISBN: 981450453X
Category : Computers
Languages : en
Pages : 501
Book Description
At a moderately advanced level, this book seeks to cover the areas of clustering and related methods of data analysis where major advances are being made. Topics include: hierarchical clustering, variable selection and weighting, additive trees and other network models, relevance of neural network models to clustering, the role of computational complexity in cluster analysis, latent class approaches to cluster analysis, theory and method with applications of a hierarchical classes model in psychology and psychopathology, combinatorial data analysis, clusterwise aggregation of relations, review of the Japanese-language results on clustering, review of the Russian-language results on clustering and multidimensional scaling, practical advances, and significance tests.
Mathematical Classification and Clustering
Author: Boris MirkinPublisher: Springer Science & Business Media
ISBN: 1461304571
Category : Mathematics
Languages : en
Pages : 439
Book Description
I am very happy to have this opportunity to present the work of Boris Mirkin, a distinguished Russian scholar in the areas of data analysis and decision making methodologies. The monograph is devoted entirely to clustering, a discipline dispersed through many theoretical and application areas, from mathematical statistics and combina torial optimization to biology, sociology and organizational structures. It compiles an immense amount of research done to date, including many original Russian de velopments never presented to the international community before (for instance, cluster-by-cluster versions of the K-Means method in Chapter 4 or uniform par titioning in Chapter 5). The author's approach, approximation clustering, allows him both to systematize a great part of the discipline and to develop many in novative methods in the framework of optimization problems. The optimization methods considered are proved to be meaningful in the contexts of data analysis and clustering. The material presented in this book is quite interesting and stimulating in paradigms, clustering and optimization. On the other hand, it has a substantial application appeal. The book will be useful both to specialists and students in the fields of data analysis and clustering as well as in biology, psychology, economics, marketing research, artificial intelligence, and other scientific disciplines. Panos Pardalos, Series Editor.
1979-1990
Author: Henryk SawoniakPublisher: Walter de Gruyter
ISBN: 3110975068
Category : Reference
Languages : en
Pages : 1284
Book Description