Titlebook: A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications; Dmitri A. Viattchenin Book 2013 Springer-Verlag Berlin Heid

會議記錄

書目名稱A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications影響因子(影響力)




書目名稱A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications影響因子(影響力)學(xué)科排名




書目名稱A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications網(wǎng)絡(luò)公開度




書目名稱A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications被引頻次




書目名稱A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications被引頻次學(xué)科排名




書目名稱A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications年度引用




書目名稱A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications年度引用學(xué)科排名




書目名稱A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications讀者反饋




書目名稱A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications讀者反饋學(xué)科排名

Adenoma

AVERT

規(guī)章

Back Matterapproaches to provide deeper mathematical insights.Explains .This book analyses and discusses bonds and bond portfolios. Different yields and duration measures are investigated for negative and positive interest rates. The transition from a single bond to a bond portfolio leads to the equation for t

得罪

Dmitri A. ViattcheninOffers an interesting and original perspective on possibilistic clustering and uncertain data processing.Features a well-balanced material and a down-to-the earth exposition.Represents an important co

Cholecystokinin

Studies in Fuzziness and Soft Computinghttp://image.papertrans.cn/a/image/141063.jpg

Slit-Lamp

Zheng Xiao,Yang Guo,Gang Liu,Jiayi Du partitioning of a set of objects into subsets, called ., so that the objects belonging to the same cluster aare as similar as possible, and on the other hand, the objects belonging to different clusters are as dissimilar as possible. The resulting data partitioning improves data understanding and r

無法破譯

Zheng Xiao,Yang Guo,Gang Liu,Jiayi Du of objects can be described by some fuzzy tolerance relation. A fuzzy cluster can be understood as some fuzzy subset implied by a fuzzy tolerance relation stipulating that a similarity degree of the elements of the fuzzy subset is not less than some threshold value. The condition stated above is a

Terminal

Adrenaline

Marcel K?ster,Julian Gro?,Antonio Krüger objects for semi-supervised fuzzy clustering algorithms, feature selection, classification of the asymmetric data, fuzzy classifier prototyping, decision making, etc. The proposed approach to possibilistic clustering shows a close relationship to some of the problems mentioned above.