Granular vs. Point-wise metrics and statistics to accommodate machine learning algorithms in granular feature spaces
Vasile Georgescu. University of Craiova
- Fuzzy Economic Review: Volume XII, Number 2. November 2007
- DOI: 10.25102/fer.2007.02.02
In this paper we propose two distinct ways of augmenting the existing clustering environment so that granular data (patterns) can be accommodated. The two approaches deal with either holistic or atomistic representations of metrics and descriptors when mining outcomes of granule-valued random variables. Granular computing is a paradigm oriented towards…
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