9780471988649 - Fuzzy Cluster Analysis: Methods for Classification, Data Analysis and Image Recognition (Wiley IBM PC Series) de Höppner, Frank; Klawonn, Frank; Kruse, Rudolf; Runk... (24 resultados)

Hardcover. Condición: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

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Condición: Bueno. : Este libro ofrece una introducción exhaustiva al análisis de clústeres difusos, explorando sus métodos y áreas de aplicación. Describe sistemáticamente diferentes técnicas de clustering difuso, permitiendo al usuario seleccionar los métodos más adecuados para su problema. Cubre clasificación, reconocimiento de imágenes, análisis de datos y generación de reglas. Incluye secciones sobre la inducción de reglas difusas if-then mediante clustering difuso y algoritmos de optimización no alternantes, así como técnicas de clustering sólido como los algoritmos fuzzy c-means, Gustafson-Kessel y Gath-and-Geva. Se enfoca en técnicas de clustering lineal y de shell utilizadas para detectar contornos en el análisis de imágenes. Además, examina las dificultades en la evaluación de los resultados del análisis de clústeres difusos y en la determinación del número de clústeres con análisis de medidas de validez global y local. EAN: 9780471988649 Tipo: Libros Categoría: Tecnología|Ciencias Título: Fuzzy Cluster Analysis Autor: Frank Höppner| Frank Klawonn| Rudolf Kruse| Thomas Runkler Editorial: Wiley Idioma: en Páginas: 304 Formato: tapa dura.

Hardcover. Condición: Near Fine. No Jacket. 1st Edition. Hardback, 8vo, x,289pp, illust. Boards slightly bumped. A good copy. 0471988642 . (Please note that our condition gradings are stricter than those of Abebooks and many other sellers. There may therefore be a discrepancy between this description and its listed condition grading).

Condición: Sehr gut. Zustand: Sehr gut | Seiten: 304 | Sprache: Englisch | Produktart: Bücher | Fuzzy Cluster Analysis presents advanced and powerful fuzzy clustering techniques. This thorough and self-contained introduction to fuzzy clustering methods and applications covers classification, image recognition, data analysis and rule generation. Combining theoretical and practical perspectives, each method is analysed in detail and fully illustrated with examples. Features include: * Sections on inducing fuzzy if-then rules by fuzzy clustering and non-alternating optimization fuzzy clustering algorithms * Discussion of solid fuzzy clustering techniques like the fuzzy c-means, the Gustafson-Kessel and the Gath-and-Geva algorithm for classification problems * Focus on linear and shell clustering techniques used for detecting contours in image analysis * Accompanying software and data sets pertaining to the examples presented, enabling the reader to learn through experimentation * Examination of the difficulties involved in evaluating the results of fuzzy cluster analysis and of determining the number of clusters with analysis of global and local validity measures * Description of different fuzzy clustering techniques allowing the user to select the method most appropriate to a particular problem Computer scientists, engineers and mathematicians in industry and research who are concerned with fuzzy clustering methods, data analysis, pattern recognition or image processing will find this a timely and accessible resource. Graduate students in computer science, mathematics or statistics will value this comprehensive overview of the applications of fuzzy methods. Download accompanying program and data sets from our website.

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Condición: New. pp. 300.

Gebunden. Condición: New. Fuzzy Cluster Analysis presents advanced and powerful fuzzy clustering techniques. This thorough and self-contained introduction to fuzzy clustering methods and applications covers classification, image recognition, data analysis and rule generation. Combin.

Condición: New. Fuzzy clustering, which combines fuzzy logic and cluster analysis techniques, has experienced a spur of interest in recent years owing to its important applications in image recognition. This revised, updated, and expanded translation of the German book deals with the ideas and algorithms of fuzzy clustering and their applications. Num Pages: 300 pages, references, index. BIC Classification: PBCH; PBWX; UNC; UYAM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 242 x 163 x 23. Weight in Grams: 586. . 1999. 1st Edition. Hardcover. . . . .

Condición: New. pp. 300.

Hardcover. Condición: Brand New. 289 pages. 9.50x6.25x0.75 inches. In Stock.

Condición: New. Fuzzy clustering, which combines fuzzy logic and cluster analysis techniques, has experienced a spur of interest in recent years owing to its important applications in image recognition. This revised, updated, and expanded translation of the German book deals with the ideas and algorithms of fuzzy clustering and their applications. Num Pages: 300 pages, references, index. BIC Classification: PBCH; PBWX; UNC; UYAM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 242 x 163 x 23. Weight in Grams: 586. . 1999. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Buch. Condición: Neu. Neuware - Dieser Band konzentriert sich auf Konzepte, Algorithmen und Anwendungen des Fuzzy Clustering. In sich geschlossen werden Techniken wie das Fuzzy-c-Mittel und die Gustafson-Kessel- und Gath- und Gava-Algorithmen behandelt, wobei vom Leser keine Vorkenntnisse auf dem Gebiet von Fuzzy-Systemen erwartet werden. Durch anschauliche Anwendungsbeispiele eignet sich das Buch als Einführung für Praktiker der Datenanalyse, der Bilderkennung und der angewandten Mathematik. (05/99).

Hardcover. Condición: new. Hardcover. Provides a timely and important introduction to fuzzy cluster analysis, its methods and areas of application, systematically describing different fuzzy clustering techniques so the user may choose methods appropriate for his problem. It provides a very thorough overview of the subject and covers classification, image recognition, data analysis and rule generation. The application examples are highly relevant and illustrative, and the use of the techniques are justified and well thought-out. Features include: * Sections on inducing fuzzy if-then rules by fuzzy clustering and non-alternating optimization fuzzy clustering algorithms * Discussion of solid fuzzy clustering techniques like the fuzzy c-means, the Gustafson-Kessel and the Gath-and-Geva algorithm for classification problems * Focus on linear and shell clustering techniques used for detecting contours in image analysis * Accompanying software and data sets pertaining to the examples presented, enabling the reader to learn through experimentation * Examination of the difficulties involved in evaluating the results of fuzzy cluster analysis and of determining the number of clusters with analysis of global and local validity measures This is one of the most comprehensive books on fuzzy clustering and will be welcomed by computer scientists, engineers and mathematicians in industry and research who are concerned with different methods, data analysis, pattern recognition or image processing. It will also give graduate students in computer science, mathematics or statistics a valuable overview. Fuzzy clustering, which combines fuzzy logic and cluster analysis techniques, has experienced a spur of interest in recent years owing to its important applications in image recognition. This revised, updated, and expanded translation of the German book deals with the ideas and algorithms of fuzzy clustering and their applications. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condición: Brand New. 289 pages. 9.50x6.25x0.75 inches. In Stock. This item is printed on demand.