SCAF - An Effective Approach to Classify Subspace Clustering Algorithms
نویسندگان
چکیده
منابع مشابه
SCAF An effective approach to Classify Subspace Clustering algorithms
Subspace clustering discovers the clusters embedded in multiple, overlapping subspaces of high dimensional data. Many significant subspace clustering algorithms exist, each having different characteristics caused by the use of different techniques, assumptions, heuristics used etc. A comprehensive classification scheme is essential which will consider all such characteristics to divide subspace...
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Clustering techniques often define the similarity between instances using distance measures over the various dimensions of the data [12, 14]. Subspace clustering is an extension of traditional clustering that seeks to find clusters in different subspaces within a dataset. Traditional clustering algorithms consider all of the dimensions of an input dataset in an attempt to learn as much as possi...
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ژورنال
عنوان ژورنال: International Journal of Data Mining & Knowledge Management Process
سال: 2013
ISSN: 2231-007X,2230-9608
DOI: 10.5121/ijdkp.2013.3205