Binary Conceptual Clustering and Its Applications
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Graphical Abstract
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Abstract
In this paper we outline a new method for clustering based on a binary representation of datarecords. The binary database relates each entity to all possible attribute values (domain) that entity may assume. We improve PAD index with GPAD index and use hierarchical techniques in database computation to obtain a sound performance.
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