| 書目名稱 | Clustering and Information Retrieval | | 編輯 | Weili Wu,Hui Xiong,Shashi Shekhar | | 視頻video | http://file.papertrans.cn/229/228551/228551.mp4 | | 叢書名稱 | Network Theory and Applications | | 圖書封面 |  | | 描述 | Clustering is an important technique for discovering relatively dense sub-regions or sub-spaces of a multi-dimension data distribution. Clus- tering has been used in information retrieval for many different purposes, such as query expansion, document grouping, document indexing, and visualization of search results. In this book, we address issues of cluster- ing algorithms, evaluation methodologies, applications, and architectures for information retrieval. The first two chapters discuss clustering algorithms. The chapter from Baeza-Yates et al. describes a clustering method for a general metric space which is a common model of data relevant to information retrieval. The chapter by Guha, Rastogi, and Shim presents a survey as well as detailed discussion of two clustering algorithms: CURE and ROCK for numeric data and categorical data respectively. Evaluation methodologies are addressed in the next two chapters. Ertoz et al. demonstrate the use of text retrieval benchmarks, such as TRECS, to evaluate clustering algorithms. He et al. provide objective measures of clustering quality in their chapter. Applications of clustering methods to information retrieval is ad- dressed in the nex | | 出版日期 | Book 2004 | | 關鍵詞 | algorithms; architecture; architectures; clustering; data mining; database; information; information retrie | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4613-0227-8 | | isbn_softcover | 978-1-4613-7949-2 | | isbn_ebook | 978-1-4613-0227-8Series ISSN 1568-1696 | | issn_series | 1568-1696 | | copyright | Kluwer Academic Publishers 2004 |
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