ABSTRACT
In recent years, research for data mining is applied to many fields such as biology, geography, and environmental science. The collected data has a large size and many dimensions, so it takes a long time for researchers to cluster the data. In this paper, we introduce a method for fast clustering 3-diemsntional data whose elements are distributed mostly on the surface of a sphere by converting data to lower dimensional space and cluster this data in new space so that we may decrease the time for computation.
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Index Terms
- Method for fast clustering of data distributed on a sphere surface
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