documents can be stored as closely together as possible.
The early work of Ivie[76] was similarly motivated in that he proposed to collect feedback information from users showing which pairs of documents were frequently was then taken as proportional to the strength of association, and documents more closely associated were made more readily accessible than those less closely associated.
Finally, the reader may be interested in pursuing the use of cluster methods in pattern recognition since some of the ideas developed there are applicable to IR.
Both Duda and Hart[77]and Watanabe[78] devote a chapter to clustering in the context of pattern recognition.
References
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