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Partitioning data sets : DIMACS workshop, April 19-21, 1993

Author: I J Cox; P Hansen; Bela Julesz; NSF Science and Technology Center in Discrete Mathematics and Theoretical Computer Science.; DIMACS (Group)
Publisher: [Providence, RI] : American Mathematical Society, ©1995.
Series: DIMACS series in discrete mathematics and theoretical computer science, v. 19.
Edition/Format:   Print book : Conference publication : EnglishView all editions and formats
Database:WorldCat
Summary:

Contains papers presented at the workshop Partioning Data Sets held at DIMACS in April 1993. This work covers the main paradigms of the field of cluster analysis methods and algorithms. It contains  Read more...

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Material Type: Conference publication
Document Type: Book
All Authors / Contributors: I J Cox; P Hansen; Bela Julesz; NSF Science and Technology Center in Discrete Mathematics and Theoretical Computer Science.; DIMACS (Group)
ISBN: 0821866060 9780821866061
OCLC Number: 31295299
Notes: "NSF Science and Technology Center in Discrete Mathematics and Theoretical Computer Science, a consortium of Rutgers University, Princeton University, AT & T Bell Labs, Bellcore."
Description: xii, 408 pages : illustrations ; 27 cm.
Contents: Part 1. Cluster Analysis Methods: The median procedure for partitions by J.-P. Barthelemy and B. Leclerc Structural properties of pyramidal clustering by P. Bertrand Partitioning by maximum adjacency search of graphs by W. Cai and D. W. Matula From data to knowledge: Probabilist objects for a symbolic data analysis by E. Diday A labeling algorithm for minimum sum of diameters partitioning of graphs by S. Gelinas, P. Hansen, and B. Jaumard Agreement subtrees, metric and consensus for labeled binary trees by W. Goddard, E. Kubicka, G. Kubicki, and F. R. McMorris How to choose $K$ entities among N by P. Hansen, B. Jaumard, and N. Mladenovic On the classification of monotone-equivariant cluster methods by M. F. Janowitz and R. Wille Contiguity-constrained hierarchical clustering by F. D. Murtagh Part 2. Target Tracking: Image segmentation based on optimal layering for precision tracking by A. Kumar, Y. Bar-Shalom, and E. Oron Multidimensional assignments and multitarget tracking by A. B. Poore Part 3. Computer Vision: Grouping edges: An efficient Bayesian multiple hypothesis approach by I. J. Cox, J. H. Rehg, S. L. Hingorani, and M. L. Miller Finding salient convex groups by D. W. Jacobs Mixture models for optical flow computation by A. Jepson and M. J. Black Multilevel detection of stereo disparity surfaces by Y. Yang and A. L. Yuille Part 4. Human Vision: Some problems of visual shape recognition to which the application of clustering mathematics might yield some potential benefits by I. Biederman Perceptual models of small dot clusters by J. Feldman Subjective contours in early vision and beyond by B. Julesz The visual perception of surfaces, their properties, and relationships by D. Kersten and S. Madarasmi Visual computations and dot cluster by S. W. Zucker.
Series Title: DIMACS series in discrete mathematics and theoretical computer science, v. 19.
Responsibility: Ingemar J. Cox, Pierre Hansen, Bela Julesz, editors.

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