Titlebook: Clustering and Information Retrieval; Weili Wu,Hui Xiong,Shashi Shekhar Book 2004 Kluwer Academic Publishers 2004 algorithms.architecture.

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Clustering in Metric Spaces with Applications to Information Retrieval, Most techniques focus on a global optimization function. The general procedure is to propose a clustering (using a suitable algorithm), then to measure the quality and amount of clusters, and repeat the procedure (proposing a new clustering structure, using for example new parameters) until satisfied.

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Granular Computing for the Design of Information Retrieval Support Systems,rmation needs [39]. An IR system is designed with the objective to provide useful and only useful documents from a large document collection [3, 39, 45]. The introduction of the World Wide Web (the Web), digital libraries, as well as many markup languages, has offered new opportunities and challenges to information retrieval researchers [3].

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https://doi.org/10.1007/978-3-7985-1645-8 Most techniques focus on a global optimization function. The general procedure is to propose a clustering (using a suitable algorithm), then to measure the quality and amount of clusters, and repeat the procedure (proposing a new clustering structure, using for example new parameters) until satisfied.

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