The Mining of the Real Valued Datasets using Clustering Algorithms

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Provided by: International Journal of Computer Science and Communication Networks (IJCSCN)
Topic: Data Management
Format: PDF
Cluster analysis has been widely used in several disciplines, such as statistics, software engineering, biology, psychology and other social sciences, in order to identify natural groups in large amounts of data. These data sets are constantly becoming larger, and their dimensionality prevents easy analysis and validation of the results. The subspace pattern mining has been tailored to microarray data clustering to find biclusters and triclusters. The authors focus on deterministic clustering algorithm: triclusters, which can mine arbitrarily positioned and overlapping biclusters/triclusters.
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