Abstract
In this master thesis non-disjoint clustering algorithms are presented, which are based on the Minimum Description Length (MDL) principle. The algorithms capture the underlying distribution from different perspectives by compressing the data using a series of code tables. A cover algorithm describes how to compress the database using a code
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