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Innovations In Fuzzy Clustering

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Innovations In Fuzzy Clustering

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Author : Mika Sato-Ilic
language : en
Publisher: Springer
Release Date : 2009-09-02

Innovations In Fuzzy Clustering written by Mika Sato-Ilic and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-02 with Mathematics categories.

This book presents the most recent advances in fuzzy clustering techniques and their applications. The contents include Introduction to Fuzzy Clustering; Fuzzy Clustering based Principal Component Analysis; Fuzzy Clustering based Regression Analysis; Kernel based Fuzzy Clustering; Evaluation of Fuzzy Clustering; Self-Organized Fuzzy Clustering. This book is directed to the computer scientists, engineers, scientists, professors and students of engineering, science, computer science, business, management, avionics and related disciplines.

Advances In Fuzzy Clustering And Its Applications

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Author : Jose Valente de Oliveira
language : en
Publisher: John Wiley & Sons
Release Date : 2007-06-13

Advances In Fuzzy Clustering And Its Applications written by Jose Valente de Oliveira and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-13 with Technology & Engineering categories.

A comprehensive, coherent, and in depth presentation of the state of the art in fuzzy clustering. Fuzzy clustering is now a mature and vibrant area of research with highly innovative advanced applications. Encapsulating this through presenting a careful selection of research contributions, this book addresses timely and relevant concepts and methods, whilst identifying major challenges and recent developments in the area. Split into five clear sections, Fundamentals, Visualization, Algorithms and Computational Aspects, Real-Time and Dynamic Clustering, and Applications and Case Studies, the book covers a wealth of novel, original and fully updated material, and in particular offers: a focus on the algorithmic and computational augmentations of fuzzy clustering and its effectiveness in handling high dimensional problems, distributed problem solving and uncertainty management. presentations of the important and relevant phases of cluster design, including the role of information granules, fuzzy sets in the realization of human-centricity facet of data analysis, as well as system modelling demonstrations of how the results facilitate further detailed development of models, and enhance interpretation aspects a carefully organized illustrative series of applications and case studies in which fuzzy clustering plays a pivotal role This book will be of key interest to engineers associated with fuzzy control, bioinformatics, data mining, image processing, and pattern recognition, while computer engineers, students and researchers, in most engineering disciplines, will find this an invaluable resource and research tool.

Innovations In Fuzzy Clustering

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Author : Mika Sato-Ilic
language : en
Publisher: Springer
Release Date : 2006-10-31

Fuzzy Sets Their Application To Clustering Training

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Author : Beatrice Lazzerini
language : en
Publisher: CRC Press
Release Date : 2000-03-24

Fuzzy Sets Their Application To Clustering Training written by Beatrice Lazzerini and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-03-24 with Computers categories.

Fuzzy set theory - and its underlying fuzzy logic - represents one of the most significant scientific and cultural paradigms to emerge in the last half-century. Its theoretical and technological promise is vast, and we are only beginning to experience its potential. Clustering is the first and most basic application of fuzzy set theory, but forms t

Data Science

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Author : Francesco Palumbo
language : en
Publisher: Springer
Release Date : 2017-07-04

Data Science written by Francesco Palumbo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-04 with Mathematics categories.

This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications. The book gathers a selection of peer-reviewed contributions presented at the Fifteenth Conference of the International Federation of Classification Societies (IFCS2015), which was hosted by the Alma Mater Studiorum, University of Bologna, from July 5 to 8, 2015.

Algorithms For Fuzzy Clustering

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Author : Sadaaki Miyamoto
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-04-15

Algorithms For Fuzzy Clustering written by Sadaaki Miyamoto and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-15 with Computers categories.

Recently many researchers are working on cluster analysis as a main tool for exploratory data analysis and data mining. A notable feature is that specialists in di?erent ?elds of sciences are considering the tool of data clustering to be useful. A major reason is that clustering algorithms and software are ?exible in thesensethatdi?erentmathematicalframeworksareemployedinthealgorithms and a user can select a suitable method according to his application. Moreover clusteringalgorithmshavedi?erentoutputsrangingfromtheolddendrogramsof agglomerativeclustering to more recent self-organizingmaps. Thus, a researcher or user can choose an appropriate output suited to his purpose,which is another ?exibility of the methods of clustering. An old and still most popular method is the K-means which use K cluster centers. A group of data is gathered around a cluster center and thus forms a cluster. The main subject of this book is the fuzzy c-means proposed by Dunn and Bezdek and their variations including recent studies. A main reasonwhy we concentrate on fuzzy c-means is that most methodology and application studies infuzzy clusteringusefuzzy c-means,andfuzzy c-meansshouldbe consideredto beamajortechniqueofclusteringingeneral,regardlesswhetheroneisinterested in fuzzy methods or not. Moreover recent advances in clustering techniques are rapid and we requirea new textbook that includes recent algorithms.We should also note that several books have recently been published but the contents do not include some methods studied herein.

Artificial Intelligence Applications And Innovations

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Author : Lazaros Iliadis
language : en
Publisher: Springer
Release Date : 2018-05-21

Artificial Intelligence Applications And Innovations written by Lazaros Iliadis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-21 with Computers categories.

This book constitutes the refereed proceedings of the 14th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2018, held in Rhodes, Greece, in May 2018. The 42 full papers and 12 short papers were carefully reviewed and selected from 88 submissions. They are organized in the following topical sections: social media, games, ontologies; deep learning; support vector machines; constraints; machine learning, regression, classification; neural networks; medical intelligence; recommender systems; optimization; learning, intelligence; heuristic approaches, cloud; fuzzy; and human and computer interaction, sound, video, processing.

Intelligent And Fuzzy Techniques Smart And Innovative Solutions

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Author : Cengiz Kahraman
language : en
Publisher: Springer Nature
Release Date : 2020-07-10

Intelligent And Fuzzy Techniques Smart And Innovative Solutions written by Cengiz Kahraman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-10 with Technology & Engineering categories.

This book gathers the most recent developments in fuzzy & intelligence systems and real complex systems presented at INFUS 2020, held in Istanbul on July 21–23, 2020. The INFUS conferences are a well-established international research forum to advance the foundations and applications of intelligent and fuzzy systems, computational intelligence, and soft computing, highlighting studies on fuzzy & intelligence systems and real complex systems at universities and international research institutions. Covering a range of topics, including the theory and applications of fuzzy set extensions such as intuitionistic fuzzy sets, hesitant fuzzy sets, spherical fuzzy sets, and fuzzy decision-making; machine learning; risk assessment; heuristics; and clustering, the book is a valuable resource for academics, M.Sc. and Ph.D. students, as well as managers and engineers in industry and the service sectors.

Fuzzy Clustering Models And Applications

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Author : Mika Sato
language : en
Publisher:
Release Date : 1997

Fuzzy Clustering Models And Applications written by Mika Sato and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with categories.

Innovative Advanced Materials For Energy Storage And Beyond

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Author : Vijay Kumar Thakur
language : en
Publisher: MDPI
Release Date : 2020-11-23

Innovative Advanced Materials For Energy Storage And Beyond written by Vijay Kumar Thakur and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-23 with Technology & Engineering categories.

This highly informative and carefully presented book covers the most recent advances as well as comprehensive reviews addressing novel and state-of-the-art topics from active researchers in innovative advanced materials and hybrid materials, concerning not only their synthesis, preparation, and characterization but especially focusing on the applications of such materials with outstanding performance.

Innovations In Fuzzy Clustering

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