four basic methods that (usually) work Bezdek, James C. 1939- creator text dk 2022 1st monographic eng

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xlvii, 467 p. : ill. (some col.) ; 27 cm. I The Art and Science of Clustering 1 Clusters: The Human Point of View (HPOV) 2 Uncertainty: Fuzzy Sets and Models 3 Clusters: The Computer Point of View (CPOV) 4 The Three Canonical Problems 5 Feature Analysis II Four Basic Models and Algorithms 6 The c-Means (aka k-Means) Models 7 Probabilistic Clustering – GMD/EM 8 Relational Clustering – The SAHN Models 9 Properties of the Fantastic Four: External Cluster Validity 10 Alternating Optimization 11 Clustering in Static Big Data 12 Structural Assessment in Streaming Data James C. Bezdek. Previously issued in print: 2021. Academic Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK). UkOxU Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force. UkOxU Cluster analysis Cluster analysis Data processing მათემატიკა მათემატიკური კიბერნეტიკა ალგორითმული თეორიების კიბრენეტიკული საკითხები კლასტერული ანალიზი კლასტერული ანალიზი-მონაცემთა დამუშავება 519.53028557 519.712 9788770224253 (Hardback) 9781000791662 Ingram Content Group Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; UkOxU Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force. UkOxU StDuBDS 230112 20230112080553.0 023249201 eng