標(biāo)題: Titlebook: A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications; Dmitri A. Viattchenin Book 2013 Springer-Verlag Berlin Heid [打印本頁(yè)] 作者: 會(huì)議記錄 時(shí)間: 2025-3-21 17:35
書(shū)目名稱A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications影響因子(影響力)
書(shū)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(shū)目名稱A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications被引頻次
書(shū)目名稱A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications被引頻次學(xué)科排名
書(shū)目名稱A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications年度引用
書(shū)目名稱A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications年度引用學(xué)科排名
書(shū)目名稱A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications讀者反饋
書(shū)目名稱A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications讀者反饋學(xué)科排名
作者: Adenoma 時(shí)間: 2025-3-21 21:19 作者: AVERT 時(shí)間: 2025-3-22 00:23 作者: 規(guī)章 時(shí)間: 2025-3-22 05:45
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作者: 得罪 時(shí)間: 2025-3-22 11:17
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作者: Cholecystokinin 時(shí)間: 2025-3-22 16:22
Studies in Fuzziness and Soft Computinghttp://image.papertrans.cn/a/image/141063.jpg作者: Slit-Lamp 時(shí)間: 2025-3-22 20:23
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作者: 無(wú)法破譯 時(shí)間: 2025-3-22 22:58
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 作者: Terminal 時(shí)間: 2025-3-23 02:22 作者: Adrenaline 時(shí)間: 2025-3-23 07:31
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.作者: 無(wú)表情 時(shí)間: 2025-3-23 13:32
A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications978-3-642-35536-3Series ISSN 1434-9922 Series E-ISSN 1860-0808 作者: neologism 時(shí)間: 2025-3-23 16:56
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.作者: BLINK 時(shí)間: 2025-3-23 19:57 作者: ATP861 時(shí)間: 2025-3-24 00:23 作者: confederacy 時(shí)間: 2025-3-24 02:35
Book 2013od for rapidly prototyping the Mamdani’s fuzzy inference systems is introduced. This book addresses engineers, scientists, professors, students and post-graduate students, who are interested in and work with fuzzy clustering and its applications.作者: 要素 時(shí)間: 2025-3-24 10:05
Heuristic Algorithms of Possibilistic Clustering,ionie-rungsbetrachtung bedarf. Mit dem Ziel, die Verbindung zwischen Knochen und Schanz-Schraube zu optimieren und das Lockerungsverhalten zu minimieren, ermittelten wir die Beanspruchung sowie das Festigkeitsverhalten dieser Verbindung. In unseren Untersuchungen wurde insbesondere die Schanz-Schrau作者: 總 時(shí)間: 2025-3-24 12:36
Applications of Heuristic Algorithms of Possibilistic Clustering, be few few histochemists histochemists who who do not not appreciate appreciate the great need need for for improve- improve- ments ments in in the the practice practice of of fixation, fixation, but but whence whence can can we we hopefully hopefully expect expect the arrival arrival of such such improvemen978-0-412-12050-3978-1-4899-3260-0作者: 逗它小傻瓜 時(shí)間: 2025-3-24 15:06 作者: 語(yǔ)源學(xué) 時(shí)間: 2025-3-24 20:49
A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications作者: Jejune 時(shí)間: 2025-3-25 02:14 作者: Chronological 時(shí)間: 2025-3-25 04:02 作者: Modicum 時(shí)間: 2025-3-25 11:11
Book 2013 on the formal definition of fuzzy cluster and the possibilistic memberships are determined directly from the values of the pairwise similarity of objects. ??The proposed approach can be used for solving different classification problems. Here, some techniques that might be useful at this purpose ar作者: ovation 時(shí)間: 2025-3-25 12:51
1434-9922 nd a down-to-the earth exposition.Represents an important co.The present book outlines a new approach to possibilistic clustering in which the sought clustering structure of the set of objects is based directly on the formal definition of fuzzy cluster and the possibilistic memberships are determine作者: 開(kāi)始發(fā)作 時(shí)間: 2025-3-25 18:20
Zheng Xiao,Yang Guo,Gang Liu,Jiayi Duation 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 conceptual basis for the proposed approach to clustering which will be described in detail in this chapter.作者: 仔細(xì)閱讀 時(shí)間: 2025-3-25 21:28 作者: 熱心 時(shí)間: 2025-3-26 03:27
Zheng Xiao,Yang Guo,Gang Liu,Jiayi Dueveals its internal structure. Clustering methods are also called automatic classification methods and numerical taxonomy methods. Heuristic, hierarchical, optimization and approximation methods are main approaches to cluster analysis.作者: 轎車 時(shí)間: 2025-3-26 06:25
8樓作者: CHIP 時(shí)間: 2025-3-26 11:06
8樓作者: PANG 時(shí)間: 2025-3-26 15:50
8樓作者: Junction 時(shí)間: 2025-3-26 19:02
9樓作者: 招致 時(shí)間: 2025-3-26 21:30
9樓作者: GORGE 時(shí)間: 2025-3-27 02:51
9樓作者: 拍翅 時(shí)間: 2025-3-27 06:39
10樓作者: 樹(shù)木心 時(shí)間: 2025-3-27 10:18
10樓作者: 改革運(yùn)動(dòng) 時(shí)間: 2025-3-27 16:03
10樓作者: Constitution 時(shí)間: 2025-3-27 19:38
10樓
