NDLI: Probabilistic Enhanced Mapping with the Generative Tabular Model

Content Provider	IEEE Xplore Digital Library
Author	Priam, R. Nadif, M.
Copyright Year	2006
Description	Author affiliation: LMA UMR 6086 CNRS, Univ. de Poitiers, Niort (Priam, R.)
Abstract	Visualization of the massive datasets needs new methods which are able to quickly and easily reveal their contents. The projection of the data cloud is an interesting paradigm in spite of its difficulty to be explored when data plots are too numerous. So we study a new way to show a bidimensional projection from a multidimensional data cloud: our generative model constructs a tabular view of the projected cloud. We are able to show the high densities areas by their non equidistributed discretization. This approach is an alternative to the self-organizing map when a projection does already exist. The resulting pixel views of a dataset are illustrated by projecting a data sample of real images: it becomes possible to observe how are laid out the class labels or the frequencies of a group of modalities without being lost because of a zoom enlarging change for instance. The conclusion gives perspectives to this original promising point of view to get a readable projection for a statistical data analysis of large data samples.
Starting Page	1021
Ending Page	1025
File Size	226293
Page Count	5
File Format	PDF
ISBN	0769527017
ISSN	15504786
DOI	10.1109/ICDM.2006.128
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Clouds Pixel Self organizing feature maps Shape Clustering algorithms Data visualization Multidimensional systems Frequency Data analysis Topology
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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