9783030133887 - data analysis in bi-partial perspective: clustering and beyond (studies in computational intelligence, 818, band 818) von owsiński, jan w. (6 Ergebnisse)
Sprache: Englisch
Verlag: Springer, 2019
Serie: Studies in Computational Intelligence, Buch 335 von 538. Buch 335 von 538 - Studies in Computational Intelligence
- Hardcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 116,77
EUR 14,02 VersandVersand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
Zustand: New. In.
Sprache: Englisch
Verlag: Springer, 2019
Serie: Studies in Computational Intelligence, Buch 335 von 538. Buch 335 von 538 - Studies in Computational Intelligence
- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 154,91
EUR 11,70 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 2 verfügbar
Hardcover. Zustand: Brand New. 153 pages. 9.50x6.50x0.75 inches. In Stock.
Sprache: Englisch
Verlag: Springer, 2019
Serie: Studies in Computational Intelligence, Buch 335 von 538. Buch 335 von 538 - Studies in Computational Intelligence
- Hardcover
Anbieter: Kennys Bookstore, Olney, MD, USAKennys Bookstore
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 164,67
EUR 9,23 VersandVersand innerhalb von USAAnzahl: 15 verfügbar
Zustand: New.
Sprache: Englisch
Verlag: Springer International Publishing, 2019
Serie: Studies in Computational Intelligence, Buch 335 von 538. Buch 335 von 538 - Studies in Computational Intelligence
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 106,99
EUR 62,18 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Buch. Zustand: 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 essen…tial 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.
Sprache: Englisch
Verlag: Springer, 2019
Serie: Studies in Computational Intelligence, Buch 335 von 538. Buch 335 von 538 - Studies in Computational Intelligence
- Hardcover
Anbieter: Buchpark, Trebbin, DeutschlandBuchpark
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Gebraucht
EUR 79,05
EUR 105,00 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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 representa…tion 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.
Sprache: Englisch
Verlag: Springer, 2019
Serie: Studies in Computational Intelligence, Buch 335 von 538. Buch 335 von 538 - Studies in Computational Intelligence
- Hardcover
Anbieter: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, DeutschlandBUCHSERVICE / ANTIQUARIAT Lars Lutzer
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Gebraucht - Gut
EUR 229,90
EUR 39,95 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Hardcover. Zustand: gut. 2019. Data Analysis in Bi-partial Perspective: Clustering and Beyond In deutscher Sprache. pages.
