9783030133917 - data analysis in bi-partial perspective: clustering and beyond: 818 di owsiński, jan w. (13 risultati)
Lingua: Inglese
Editore: Springer, 2020
Serie: Libro 335 di 538 - Studies in Computational Intelligence
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Lingua: Inglese
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PF. Condizione: New.
Lingua: Inglese
Editore: Springer, 2020
Serie: Libro 335 di 538 - Studies in Computational Intelligence
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Condizione: New. pp. XIX, 153 1st ed. 2020 edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer-Nature New York Inc, 2020
Serie: Libro 335 di 538 - Studies in Computational Intelligence
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Paperback. Condizione: Brand New. 176 pages. 9.25x6.10x0.40 inches. In Stock.
Altre immaginiLingua: Inglese
Editore: Springer, 2020
Serie: Libro 335 di 538 - Studies in Computational Intelligence
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Data Analysis in Bi-partial Perspective: Clustering and Beyond | Jan W. Owsi¿ski | Taschenbuch | xix | Englisch | 2020 | Springer | EAN 9783030133917 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: p…reigu.
Lingua: Inglese
Editore: Springer International Publishing, 2020
Serie: Libro 335 di 538 - Studies in Computational Intelligence
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents thebi-partial approachto data analysis, which is both uniquely general and enables the development of techniques for many data analysis problems, including related models and algorithms. It is based on adequate representation of… the essential clustering problem:to group together the similar, and to separate the dissimilar. This leads to a general objective function and subsequently to a broad class of concrete implementations. Using this basis, a suboptimising procedure can be developed, together with a variety of implementations.This procedure has a striking affinity with the classical hierarchical merger algorithms, while also incorporating the stopping rule, based on the objective function. The approach resolves the cluster number issue, as the solutions obtained include both the content and the number of clusters. Further, it is demonstrated how the bi-partial principle can be effectively applied to a wide variety of problems in data analysis.The book offers a valuable resource for all data scientists who wish to broaden their perspective on basic approaches and essential problems, and to thus find answers to questions that are often overlooked or have yet to be solved convincingly. It is also intended for graduate students in the computer and data sciences, and will complement their knowledge and skills with fresh insights on problems that are otherwise treated in the standard 'academic' manner.
Lingua: Inglese
Editore: Springer, 2020
Serie: Libro 335 di 538 - Studies in Computational Intelligence
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: Springer, 2020
Serie: Libro 335 di 538 - Studies in Computational Intelligence
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing Aug 2020, 2020
Serie: Libro 335 di 538 - Studies in Computational Intelligence
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents thebi-partial approachto data analysis, which is both uniquely general and enables the development of techniques for many data analysis problems, including related models and algorithms. It is based on adequate r…epresentation of the essential clustering problem:to group together the similar, and to separate the dissimilar. This leads to a general objective function and subsequently to a broad class of concrete implementations. Using this basis, a suboptimising procedure can be developed, together with a variety of implementations.This procedure has a striking affinity with the classical hierarchical merger algorithms, while also incorporating the stopping rule, based on the objective function. The approach resolves the cluster number issue, as the solutions obtained include both the content and the number of clusters. Further, it is demonstrated how the bi-partial principle can be effectively applied to a wide variety of problems in data analysis.The book offers a valuable resource for all data scientists who wish to broaden their perspective on basic approaches and essential problems, and to thus find answers to questions that are often overlooked or have yet to be solved convincingly. It is also intended for graduate students in the computer and data sciences, and will complement their knowledge and skills with fresh insights on problems that are otherwise treated in the standard 'academic' manner. 176 pp. Englisch.
Lingua: Inglese
Editore: Springer International Publishing, 2020
Serie: Libro 335 di 538 - Studies in Computational Intelligence
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- Print on Demand
Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers a valuable resource for all data scientists who wish to broaden their perspective on the fundamental approaches available Presents a general formulation, properties, examples, and techniques associated with a…general objective function .
Lingua: Inglese
Editore: Springer, 2020
Serie: Libro 335 di 538 - Studies in Computational Intelligence
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- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand pp. XIX, 153.
Lingua: Inglese
Editore: Springer, 2020
Serie: Libro 335 di 538 - Studies in Computational Intelligence
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- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND pp. XIX, 153.
Lingua: Inglese
Editore: Springer, Palgrave Macmillan Aug 2020, 2020
Serie: Libro 335 di 538 - Studies in Computational Intelligence
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents the bi-partial approach to data analysis, which is both uniquely general and enables the development of techniques for many data analysis problems, including related models and algorithms. It is based on adequate rep…resentation of the essential clustering problem: to group together the similar, and to separate the dissimilar. This leads to a general objective function and subsequently to a broad class of concrete implementations. Using this basis, a suboptimising procedure can be developed, together with a variety of implementations.This procedure has a striking affinity with the classical hierarchical merger algorithms, while also incorporating the stopping rule, based on the objective function. The approach resolves the cluster number issue, as the solutions obtained include both the content and the number of clusters. Further, it is demonstrated how the bi-partial principle can be effectively applied to a wide variety of problems in data analysis.The book offers a valuable resource for all data scientists who wish to broaden their perspective on basic approaches and essential problems, and to thus find answers to questions that are often overlooked or have yet to be solved convincingly. It is also intended for graduate students in the computer and data sciences, and will complement their knowledge and skills with fresh insights on problems that are otherwise treated in the standard 'academic' manner.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 176 pp. Englisch.
