2 research outputs found
Multialgebraic Systems in Information Granulation
In different fields a conception of granules is applied both as a group of elements defined by internal
properties and as something inseparable whole reflecting external properties. Granular computing may be
interpreted in terms of abstraction, generalization, clustering, levels of abstraction, levels of detail, and so on. We
have proposed to use multialgebraic systems as a mathematical tool for synthesis and analysis of granules and
granule structures. The theorem of necessary and sufficient conditions for multialgebraic systems existence has
been proved
A PARTITION METRIC FOR CLUSTERING FEATURES ANALYSIS
Abstract: A new distance function to compare arbitrary partitions is proposed. Clustering of image collections and image segmentation give objects to be matched. Offered metric intends for combination of visual features and metadata analysis to solve a semantic gap between low-level visual features and high-level human concept