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Database/SQL Database Modeling and Design, Fifth Edition: Logical Design, 5 edition
Database/SQL BusinessObjects: The Complete Reference
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Database/SQL Free 15000000 ebooks,softwares,movies,wallpapers free download
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Database/SQL Professional SQL Server 2005 Reporting Services By Paul Turley
Database/SQL Microsoft(R) SQL Server(R) 2008 Administrator's Pocket Consultant
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Database/SQL 网页数据库整合精华录
Database/SQL Oracle 数据库培训手册—DBA
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Database/SQL SQLite权威指南
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Database/SQL visual basic+sql server数据库应用开发
Database/SQL Microsoft Access Developer's Guide to SQL Server [Paperback]
Database/SQL Microsoft Access Developer\'s Guide to SQL Server
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Database/SQL SQL语言艺术
Database/SQL SQL Server 数据库设计与实现
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Database/SQL Introduction to Clustering Large and High-Dimensional Data
Posted on 2010-03-17
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There is a growing need for a more automated system of partitioning data sets into groups, or clusters. For example, digital libraries and the World Wide Web continue to grow exponentially, the ability to find useful information increasingly depends on the indexing infrastructure or search engine. Clustering techniques can be used to discover natural groups in data sets and to identify abstract structures that might reside there, without having any background knowledge of the characteristics of the data. Clustering has been used in a variety of areas, including computer vision, VLSI design, data mining, bio-informatics (gene expression analysis), and information retrieval, to name just a few. This book focuses on a few of the most important clustering algorithms, providing a detailed account of these major models in an information retrieval context. The beginning chapters introduce the classic algorithms in detail, while the later chapters describe clustering through divergences and show recent research for more advanced audiences.
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