Automatic subspace clustering of high dimensional data for data mining applications
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United States of America Patent
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Dec 14, 1999
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app pub date -
Aug 22, 1997
filing date -
Aug 22, 1997
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Expired
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Abstract
A method for finding clusters of units in high-dimensional data having the steps of determining dense units in selected subspaces within a data space of the high-dimensional data, determining each cluster of dense units that are connected to other dense units in the selected subspaces within the data space, determining maximal regions covering each cluster of connected dense units, determining a minimal cover for each cluster of connected dense units, and identifying the minimal cover for each cluster of connected dense units.
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