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Title: A Partition Metric for Clustering Features Analysis
Authors: Kinoshenko, Dmitry
Mashtalir, Vladimir
Shlyakhov, Vladislav
Keywords: Partition
Image Segmentation
Issue Date: 2007
Publisher: Institute of Information Theories and Applications FOI ITHEA
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.
ISSN: 1313-0463
Appears in Collections:Volume 14 Number 3

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