9783528063122 - graphs as structural models: the application of graphs and multigraphs in cluster analysis (advances in system analysis) de godehardt, erhard (12 resultados)
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Librería: Anybook.com, Lincoln, Reino UnidoAnybook.com
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Condición: Fair. Volume 4. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In fair condition, suitable as a study copy. Library sticker on front cover. Please note the Image in this listing is a stock photo and may not match the covers of the act…ual item,400grams, ISBN:3528063122.
Idioma: Inglés
Editorial: Vieweg Verlag, Friedr, & Sohn Verlagsgesellschaft mbH 1988
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Librería: Books Puddle, New York, Estados Unidos de AmericaBooks Puddle
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EUR 76,41
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Condición: New. pp. 228.
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, IrlandaKennys Bookshop and Art Galleries Ltd.
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EUR 68,42
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Condición: New. Series: Advances in System Analysis. BIC Classification: PBV. Dimension: 0 x 0. Weight in Grams: 401. . 1988. Paperback. . . . .
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Librería: Kennys Bookstore, Olney, Estados Unidos de AmericaKennys Bookstore
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EUR 84,32
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Condición: New. Series: Advances in System Analysis. BIC Classification: PBV. Dimension: 0 x 0. Weight in Grams: 401. . 1988. Paperback. . . . . Books ship from the US and Ireland.
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Librería: moluna, Greven, Alemaniamoluna
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Condición: New.
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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EUR 90,99
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Condición: New. In.
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Librería: Chiron Media, Wallingford, Reino UnidoChiron Media
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EUR 87,94
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PF. Condición: New.
Idioma: Inglés
Editorial: Vieweg+Teubner Verlag, Vieweg+Teubner Verlag 1988
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The advent of the high-speed computer with its enormous storage capabilities enabled statisticians as well as researchers from the different topics of life sciences to apply mul tivariate statistical procedures to large data sets to explore their s…tructures. More and more, methods of graphical representation and data analysis are used for investigations. These methods belong to a topic of growing popUlarity, known as 'exploratory data analysis' or EDA. In many applications, there is reason to believe that a set of objects can be clus tered into subgroups that differ in meaningful ways. Extensive data sets, for example, are stored in clinical cancer registers. In large data sets like these, nobody would ex pect the objects to be homogeneous. The most commonly used terms for the class of procedures that seek to separate the component data into groups are 'cluster analysis' or 'numerical taxonomy'. The origins of cluster analysis can be found in biology and anthropology at the beginning of the century. The first systematic investigations in cluster analysis are those of K. Pearson in 1894. The search for classifications or ty pologies of objects or persons, however, is indigenous not only to biology but to a wide variety of disciplines. Thus, in recent years, a growing interest in classification and related areas has taken place. Today, we see applications of cluster analysis not only to. biology but also to such diverse areas as psychology, regional analysis, marketing research, chemistry, archaeology and medicine.
Idioma: Inglés
Editorial: Vieweg+Teubner, Vieweg+Teubner Verlag Jan 1988 1988
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The advent of the high-speed computer with its enormous storage capabilities enabled statisticians as well as researchers from the different topics of life sciences to apply mul tivariate statistical procedures to large data sets to… explore their structures. More and more, methods of graphical representation and data analysis are used for investigations. These methods belong to a topic of growing popUlarity, known as 'exploratory data analysis' or EDA. In many applications, there is reason to believe that a set of objects can be clus tered into subgroups that differ in meaningful ways. Extensive data sets, for example, are stored in clinical cancer registers. In large data sets like these, nobody would ex pect the objects to be homogeneous. The most commonly used terms for the class of procedures that seek to separate the component data into groups are 'cluster analysis' or 'numerical taxonomy'. The origins of cluster analysis can be found in biology and anthropology at the beginning of the century. The first systematic investigations in cluster analysis are those of K. Pearson in 1894. The search for classifications or ty pologies of objects or persons, however, is indigenous not only to biology but to a wide variety of disciplines. Thus, in recent years, a growing interest in classification and related areas has taken place. Today, we see applications of cluster analysis not only to. biology but also to such diverse areas as psychology, regional analysis, marketing research, chemistry, archaeology and medicine. 214 pp. Englisch.
Idioma: Inglés
Editorial: Vieweg Verlag, Friedr, & Sohn Verlagsgesellschaft mbH 1988
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 76,03
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Condición: New. Print on Demand pp. 228 47 Illus.
Idioma: Inglés
Editorial: Vieweg Verlag, Friedr, & Sohn Verlagsgesellschaft mbH 1988
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Librería: Biblios, frankfurt am main, AlemaniaBiblios
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EUR 76,91
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Condición: New. PRINT ON DEMAND pp. 228.
Idioma: Inglés
Editorial: Vieweg+Teubner Verlag, Vieweg+Teubner Verlag Jan 1988 1988
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Librería: buchversandmimpf2000, Emtmannsberg, Alemaniabuchversandmimpf2000
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EUR 53,49
Envío por EUR 60,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The advent of the high-speed computer with its enormous storage capabilities enabled statisticians as well as researchers from the different topics of life sciences to apply mul tivariate statistical procedures to large data sets to exp…lore their structures. More and more, methods of graphical representation and data analysis are used for investigations. These methods belong to a topic of growing popUlarity, known as 'exploratory data analysis' or EDA. In many applications, there is reason to believe that a set of objects can be clus tered into subgroups that differ in meaningful ways. Extensive data sets, for example, are stored in clinical cancer registers. In large data sets like these, nobody would ex pect the objects to be homogeneous. The most commonly used terms for the class of procedures that seek to separate the component data into groups are 'cluster analysis' or 'numerical taxonomy'. The origins of cluster analysis can be found in biology and anthropology at the beginning of the century. The first systematic investigations in cluster analysis are those of K. Pearson in 1894. The search for classifications or ty pologies of objects or persons, however, is indigenous not only to biology but to a wide variety of disciplines. Thus, in recent years, a growing interest in classification and related areas has taken place. Today, we see applications of cluster analysis not only to. biology but also to such diverse areas as psychology, regional analysis, marketing research, chemistry, archaeology and medicine.Vieweg+Teubner Verlag, Abraham-Lincoln-Straße 46, 65189 Wiesbaden 228 pp. Englisch.
