Performance Analysis of Subspace Clustering Algorithms in Biological Data
نویسندگان
چکیده
منابع مشابه
Clustering high dimensional data using subspace and projected clustering algorithms
Problem statement: Clustering has a number of techniques that have been developed in statistics, pattern recognition, data mining, and other fields. Subspace clustering enumerates clusters of objects in all subspaces of a dataset. It tends to produce many over lapping clusters. Approach: Subspace clustering and projected clustering are research areas for clustering in high dimensional spaces. I...
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Finding clusters in high dimensional data is a challenging task as the high dimensional data comprises hundreds of attributes. Subspace clustering is an evolving methodology which, instead of finding clusters in the entire feature space, it aims at finding clusters in various overlapping or non-overlapping subspaces of the high dimensional dataset. Density based subspace clustering algorithms t...
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ژورنال
عنوان ژورنال: IJARCCE
سال: 2015
ISSN: 2278-1021
DOI: 10.17148/ijarcce.2015.4259