Guojun Gan Data Clustering: Theory, Algorithms, and Applications 9780898716238

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Автор: Guojun Gan
Название: Data Clustering: Theory, Algorithms, and Applications
Перевод названия: Объединение в кластеры данных: теория, алгоритмы и применения
ISBN: 9780898716238
Издательство: Mare Nostrum (Eurospan)
Классификация:

Сбор и анализ данных

Извлечение знаний из данных

ISBN-10: 0898716233
Обложка/Формат: Paperback
Страницы: 480
Вес: 0.08 кг.
Дата издания: 12.07.2007
Серия: ASA-SIAM Series on Statistics and Applied Probability
Язык: English
Издание: Illustrated ed
Иллюстрации: Illustrations
Размер: 229 x 152 x 26
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: Cluster analysis is an unsupervised process that divides a set of objects into homogeneous groups. This book starts with basic information on cluster analysis, including the classification of data and the corresponding similarity measures, followed by the presentation of over 50 clustering algorithms in groups according to some specific baseline methodologies such as hierarchical, centre-based, and search-based methods. As a result, readers and users can easily identify an appropriate algorithm for their applications and compare novel ideas with existing results. The book also provides examples of clustering applications to illustrate the advantages and shortcomings of different clustering architectures and algorithms. Application areas include pattern recognition, artificial intelligence, information technology, image processing, biology, psychology, and marketing. Suitable as a textbook for an introductory course in cluster analysis or as source material for a graduate-level introduction to data mining.

Data Clustering: Theory, Algorithms, and Applications, Guojun Gan