Customer purchase data analysis and clustering high-dimensional data
For high-dimensional data-space clustering, two major issues occur: efficiency and quality. New algorithms are needed to deal with this type of dataset. Two popular strategies are applied to it. One is the subspace-clustering strategy to find the cluster in the subspace of the original dataset space. Another is the dimensionality-reduction strategy, which is a lower dimensional data space created for further clustering.
MAFIA is an efficient and scalable subspace-clustering algorithm for high-dimensional and large datasets.
The MAFIA algorithm
The summarized pseudocode for the MAFIA algorithm is as follows:
The summarized pseudocode for the parallel MAFIA algorithm is as follows: ...
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