05359nam 22007574a 450 991080614450332120200520144314.0978661027547297812802754701280275472978047024355804702435549780471708599047170859397804717086050471708607(CKB)1000000000019091(EBL)228460(OCoLC)609260264(SSID)ssj0000188010(PQKBManifestationID)11156586(PQKBTitleCode)TC0000188010(PQKBWorkID)10141617(PQKB)10875312(MiAaPQ)EBC228460(Au-PeEL)EBL228460(CaPaEBR)ebr10114191(CaONFJC)MIL27547(Perlego)2770481(EXLCZ)99100000000001909120040629d2005 uy 0engur|n|---|||||txtccrKnowledge-based clustering from data to information granules /Witold Pedrycz1st ed.Hoboken, N.J. Wileyc20051 online resource (336 p.)"A Wiley-Interscience publication."9780471469667 0471469661 Includes bibliographical references (p. 297-313) and index.KNOWLEDGE-BASED CLUSTERING; Contents; Foreword; Preface; 1 Clustering and Fuzzy Clustering; 1.1 Introduction; 1.2 Basic Notions and Notation; 1.2.1 Types of Data; 1.2.2 Distance and Similarity; 1.3 Main Categories of Clustering Algorithms; 1.3.1 Hierarchical Clustering; 1.3.2 Objective Function-Based Clustering; 1.4 Clustering and Classification; 1.5 Fuzzy Clustering; 1.6 Cluster Validity; 1.7 Extensions of Objective Function-Based Fuzzy Clustering; 1.7.1 Augmented Geometry of Fuzzy Clusters: Fuzzy C Varieties; 1.7.2 Possibilistic Clustering; 1.7.3 Noise Clustering1.8 Self-Organizing Maps and Fuzzy Objective Function-Based Clustering1.9 Conclusions; References; 2 Computing with Granular Information: Fuzzy Sets and Fuzzy Relations; 2.1 A Paradigm of Granular Computing: Information Granules and Their Processing; 2.2 Fuzzy Sets as Human-Centric Information Granules; 2.3 Operations on Fuzzy Sets; 2.4 Fuzzy Relations; 2.5 Comparison of Two Fuzzy Sets; 2.6 Generalizations of Fuzzy Sets; 2.7 Shadowed Sets; 2.8 Rough Sets; 2.9 Granular Computing and Distributed Processing; 2.10 Conclusions; References; 3 Logic-Oriented Neurocomputing; 3.1 Introduction3.2 Main Categories of Fuzzy Neurons3.2.1 Aggregative Neurons; 3.2.2 Referential (Reference) Neurons; 3.3 Architectures of Logic Networks; 3.4 Interpretation Aspects of the Networks; 3.5 Granular Interfaces of Logic Processing; 3.6 Conclusions; References; 4 Conditional Fuzzy Clustering; 4.1 Introduction; 4.2 Problem Statement: Context Fuzzy Sets and Objective Function; 4.3 The Optimization Problem; 4.4 Computational Considerations of Conditional Clustering; 4.5 Generalizations of the Algorithm Through the Aggregation Operator; 4.6 Fuzzy Clustering with Spatial Constraints; 4.7 ConclusionsReferences5 Clustering with Partial Supervision; 5.1 Introduction; 5.2 Problem Formulation; 5.3 Design of the Clusters; 5.4 Experimental Examples; 5.5 Cluster-Based Tracking Problem; 5.6 Conclusions; References; 6 Principles of Knowledge-Based Guidance in Fuzzy Clustering; 6.1 Introduction; 6.2 Examples of Knowledge-Oriented Hints and Their General Taxonomy; 6.3 The Optimization Environment of Knowledge-Enhanced Clustering; 6.4 Quantification of Knowledge-Based Guidance Hints and Their Optimization; 6.5 Organization of the Interaction Process; 6.6 Proximity-Based Clustering (P-FCM)6.7 Web Exploration and P-FCM6.8 Linguistic Augmentation of Knowledge-Based Hints; 6.9 Conclusions; References; 7 Collaborative Clustering; 7.1 Introduction and Rationale; 7.2 Horizontal and Vertical Clustering; 7.3 Horizontal Collaborative Clustering; 7.3.1 Optimization Details; 7.3.2 The Flow of Computing of Collaborative Clustering; 7.3.3 Quantification of the Collaborative Phenomenon of Clustering; 7.4 Experimental Studies; 7.5 Further Enhancements of Horizontal Clustering; 7.6 The Algorithm of Vertical Clustering; 7.7 A Grid Model of Horizontal and Vertical Clustering7.8 Consensus ClusteringA comprehensive coverage of emerging and current technology dealing with heterogeneous sources of information, including data, design hints, reinforcement signals from external datasets, and related topicsCovers all necessary prerequisites, and if necessary,additional explanations of more advanced topics, to make abstract concepts more tangibleIncludes illustrative material andwell-known experimentsto offer hands-on experienceSoft computingGranular computingFuzzy systemsSoft computing.Granular computing.Fuzzy systems.006.3Pedrycz Witold1953-21029MiAaPQMiAaPQMiAaPQBOOK9910806144503321Knowledge-based clustering4092360UNINA02327nam0 22003493i 450 VAN0025664320240806101448.179feie?r- e-i- r-a- depr (3) 1757 (R)VAN 20230404d1757 |0itac50 baitaIT||||||||| |||||||||Osservazioni sopra le malattie d'armata in campagna e in guarnigione con un'Appendice d'esperienze comunicate alla Società Reale di Londra. Opera del dottor Giovanni Pringle della società suddetta, &c. Tradotta dalla seconda edizione di Londra del 1753In Napolinella stamperia di Giuseppe de Bonis1757VIII, XVI, 311, [1] p.4ºSul frontespizio e a carta 2F1v marca: Monogramma del tipografoNome del traduttore, Francesco Serao, dalla prefazione a carta π2rSegnatura: π⁴ *-2*⁴ A-2P⁴ 2Q-2R²Iniziali xilograficheSul frontespizio timbro storico della Biblioteca Proprietaria: Istituto di Materia Medica - R. Università – Napoli. - Nuovamente legato in pergamena rigida in occasione del restauro. Sul dorso: aut. tit. e anno impressi in oro. Tagli spruzzati di rosso.IT-VAN18 FARMF.R.700.12001VAN002566442001 Appendice in cui si contengono esperienze intorno alle sostanze septiche: con riflessioni riguardanti l'uso di esse nella teoria medica.VAN00256645Observations on the diseases of the army in camp.3090881NapoliVANL000005PringleJohn1707-1782VANV086378755348SeraoFrancesco1702-1783VANV086380730De Bonis, GiuseppeVANV210118ITSOL20260130RICAUFFICIO BIBLIOTECA AREA MUSEALEVAN18VAN00256643UFFICIO BIBLIOTECA AREA MUSEALE18FARM F.R. 700.12 18MUS1109 20230404 Sul frontespizio timbro storico della Biblioteca Proprietaria: Istituto di Materia Medica - R. Università – Napoli. - Nuovamente legato in pergamena rigida in occasione del restauro. Sul dorso: aut. tit. e anno impressi in oro. Tagli spruzzati di rosso.BuonoObservations on the diseases of the army in camp3090881UNICAMPANIA