Algorithms for Fuzzy Clustering, Sadaaki Miyamoto; Hidetomo Ichihashi; Katsuhiro Ho
Автор: Viattchenin Dmitri A Название: Heuristic Approach to Possibilistic Clustering: Algorithms a ISBN: 3642355358 ISBN-13(EAN): 9783642355356 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In a new approach to possibilistic clustering, the sought clustering structure of the set is based directly on the formal definition of fuzzy cluster and possibilistic memberships are determined directly from the values of the pairwise similarity of objects.
Автор: Vicen? Torra; Anders Dahlbom; Yasuo Narukawa Название: Fuzzy Sets, Rough Sets, Multisets and Clustering ISBN: 3319475568 ISBN-13(EAN): 9783319475561 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Bringing together contributions by leading researchers in the field, it concretely addresses clustering, multisets, rough sets and fuzzy sets, as well as their applications in areas such as decision-making.The book is divided in four parts, the first of which focuses on clustering and classification.
Описание: In a new approach to possibilistic clustering, the sought clustering structure of the set is based directly on the formal definition of fuzzy cluster and possibilistic memberships are determined directly from the values of the pairwise similarity of objects.
Автор: M. Emre Celebi Название: Partitional Clustering Algorithms ISBN: 3319347985 ISBN-13(EAN): 9783319347981 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on partitional clustering algorithms, which are commonly used in engineering and computer scientific applications. The goal of this volume is to summarize the state-of-the-art in partitional clustering. The book includes such topics as center-based clustering, competitive learning clustering and density-based clustering.
Название: Partitional clustering algorithms ISBN: 3319092588 ISBN-13(EAN): 9783319092584 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on partitional clustering algorithms, which are commonly used in engineering and computer scientific applications. The goal of this volume is to summarize the state-of-the-art in partitional clustering. The book includes such topics as center-based clustering, competitive learning clustering and density-based clustering.
Автор: ?gnes Vathy-Fogarassy; J?nos Abonyi Название: Graph-Based Clustering and Data Visualization Algorithms ISBN: 1447151577 ISBN-13(EAN): 9781447151579 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Vector Quantisation and Topology-Based Graph Representation
Graph-Based Clustering Algorithms
Graph-Based Visualisation of High-Dimensional Data
Автор: Ujjwal Maulik; Sanghamitra Bandyopadhyay; Anirban Название: Multiobjective Genetic Algorithms for Clustering ISBN: 3642439632 ISBN-13(EAN): 9783642439636 Издательство: Springer Рейтинг: Цена: 7680.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers clustering using multiobjective genetic algorithms, with extensive real-life application in data mining and bioinformatics. The authors offer instructions for relevant techniques, and demonstrate real-world applications in several disciplines.
Автор: Zeshui Xu Название: Intuitionistic Fuzzy Aggregation and Clustering ISBN: 3642436129 ISBN-13(EAN): 9783642436123 Издательство: Springer Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An inclusive primer on intuitionistic fuzzy clustering algorithms, this volume covers priority theory and methods of intuitionistic preference relations. It also shows how fuzzy algorithms can be applied to practicalities such as supply-chain management.
Автор: Lazzerini Название: Fuzzy Sets & their Application to Clustering & Training ISBN: 0849305896 ISBN-13(EAN): 9780849305894 Издательство: Taylor&Francis Рейтинг: Цена: 26796.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Fuzzy logic applications allow uncertain or imprecise data to be clustered and analyzed when traditional methods cannot be used. This volume offers an introduction to fuzzy set theory and then progresses through the algorithms and techniques used to manipulate data using fuzzy sets, including classification, hierarchy, and cluster structure.
Автор: Mika Sato-Ilic Название: Innovations in Fuzzy Clustering ISBN: 3642070728 ISBN-13(EAN): 9783642070723 Издательство: Springer Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Clustering has been around for many decades and located itself in a uniquepositionasafundamentalconceptualandalgorithmiclandmark of data analysis. Almost since the very inception of fuzzy sets, the role and potential of these information granules in revealing and describing structureindatawasfullyacknowledgedandappreciated.Asamatter of fact, with the rapid growth of volumes of digital information, the role of clustering becomes even more visible and critical. Furthermore given the anticipated human centricity of the majority of artifacts of digitaleraandacontinuousbuildupofmountainsofdata, onebecomes fully cognizant of the growing role and an enormous potential of fuzzy sets and granular computing in the design of intelligent systems. In therecentyearsclusteringhasundergoneasubstantialmetamorphosis. Frombeinganexclusivelydata drivenpursuit, ithastransformeditself into a vehicle whose data centricity has been substantially augmented by the incorporation of domain knowledge thus giving rise to the next generation of knowledge-oriented and collaborative clustering. Interestingly enough, fuzzy clustering exhibits a dominant role in many developments of the technology of fuzzy sets including fuzzy modeling, fuzzy control, data mining, pattern recognition, and image processing. When browsing through numerous papers on fuzzy m- eling we can witness an important trend of a substantial reliance on fuzzy clustering being regarded as the general development tool. The same central position of fuzzy clustering becomes visible in pattern classi?ers and neurofuzzy systems. All in all, it becomes evident that further progress in fuzzy clustering is of vital relevance and bene't to the overall progress of the area of fuzzy sets and their application
Автор: Rachev, Svetlozar T. Kim, Young Shim Bianchi, Mich Название: Financial models with levy processes and volatility clustering ISBN: 0470482354 ISBN-13(EAN): 9780470482353 Издательство: Wiley Рейтинг: Цена: 13464.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: * In this book, authors Rachev, Kim, Bianchi, and Fabozzi present readers with the notions of risk and their corresponding performance measures.
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