NDLI: A Hierarchical Algorithm for Clustering Uncertain Data via an Information-Theoretic Approach

Content Provider	IEEE Xplore Digital Library
Author	Gullo, F. Ponti, G. Tagarelli, A. Greco, S.
Copyright Year	2008
Description	Author affiliation: DEIS, Univ. of Calabria, Rende (Gullo, F.; Ponti, G.; Tagarelli, A.; Greco, S.)
Abstract	In recent years there has been a growing interest in clustering uncertain data. In contrast to traditional, "sharp" data representation models, uncertain data objects can be represented in terms of an uncertainty region over which a probability density function (pdf) is defined. In this context, the focus has been mainly on partitional and density-based approaches, whereas hierarchical clustering schemes have drawn less attention. We propose a centroid-linkage-based agglomerative hierarchical algorithm for clustering uncertain objects, named U-AHC. The cluster merging criterion is based on an information-theoretic measure to compute the distance between cluster prototypes. These prototypes are represented as mixture densities that summarize the pdfs of all the uncertain objects in the clusters. Experiments have shown that our method outperforms state-of-the-art clustering algorithms from an accuracy viewpoint while achieving reasonably good efficiency.
Starting Page	821
Ending Page	826
File Size	278068
Page Count	6
File Format	PDF
ISBN	9780769535029
ISSN	15504786
DOI	10.1109/ICDM.2008.115
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-15
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Clustering algorithms Prototypes Biomedical measurements Data mining Uncertainty Probability density function Merging Density measurement Partitioning algorithms Data analysis information-theoretic distance measures uncertain data management hierarchical clustering
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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