A privacy-sensitive approach to distributed clustering
نویسندگان
چکیده
منابع مشابه
A privacy-sensitive approach to distributed clustering
While data mining algorithms are often designed to operate on centralized data, in practice data is often acquired and stored in a distributed manner. Centralization of such data before analysis may not be desirable, and often not possible due to a variety of real-life constraints such as security, privacy and communication costs. This paper presents a general framework for distributed clusteri...
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ژورنال
عنوان ژورنال: Pattern Recognition Letters
سال: 2005
ISSN: 0167-8655
DOI: 10.1016/j.patrec.2004.08.003