Jarrod Moore

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Clustering is a fundamental data mining tool that aims to divide data into groups of similar items. Intuition about clustering reflects the ideal case – exact data sets endowed with flawless dissimilarity between individual instances. In practice however, these cases are in the minority, and clustering applications are typically characterized by(More)
This paper investigates two approaches for Boolean matching using NPN equivalence matching. Luks' hypergraph method is implemented and compared to the Walsh spectral decision diagram (SDD) method that we propose here. Both methods determine a canonical representation for each NPN equivalence class. The target functions are then transformed into a canonical(More)
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