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DIMACS Workshop: Partitioning Data Sets 1993
- Ingemar J. Cox, Pierre Hansen, Béla Julesz:

Partitioning Data Sets, Proceedings of a DIMACS Workshop, Princeton, New Jersey, USA, April 19-21, 1993. DIMACS Series in Discrete Mathematics and Theoretical Computer Science 19, DIMACS/AMS 1995, ISBN 978-0-8218-6606-1 - Foreword. Partitioning Data Sets 1993: ix-

- Preface. Partitioning Data Sets 1993: xi-

Part 1. Cluster Analysis Methods
- Jean-Pierre Barthélemy, Bruno Leclerc:

The Median Procedure for Partitions. 3-34 - Patrice Bertrand:

Structural Properties of Pyramidal Clustering. 35-53 - Weiqing Cai, David W. Matula:

Partitioning by Maximum Adjacency Search of Graphs. 55-63 - Edwin Diday:

From Data to Knowledge: Probabilist Objects for a Symbolic Data Analysis. 65-88 - Sylvie Gélinas, Pierre Hansen, Brigitte Jaumard:

A Labeling Algorithm for Minimum Sum of Diameters Partitioning of Graphs. 89-96 - Wayne Goddard, Ewa M. Kubicka, Grzegorz Kubicki, Fred R. McMorris:

Agreement Subtrees, Metric and Consensus for Labeled Binary Trees. 97-104 - Pierre Hansen, Brigitte Jaumard, Nenad Mladenovic:

How to Choose K Entities Among N. 105-116 - Melvin F. Janowitz, Rudolf Wille:

On the Classification of Monotone-Equivariant Cluster Methods. 117-141 - Fionn Murtagh:

Contiguity-Constrained Hierarchical Clustering. 143-152
Part 2. Target Tracking
- Anil Kumar, Yaakov Bar-Shalom, Eliezer Oron:

Image Segmentation Based on Optimal Layering for Precision Tracking. 155-168 - Aubrey B. Poore:

Multidimensional Assignments and Multitarget Tracking. 169-196
Part 3. Computer Vision
- Ingemar J. Cox, James M. Rehg, Sunita L. Hingorani, Matthew L. Miller:

Grouping Edges: An Efficient Bayesian Multiple Hypothesis Approach. 199-235 - David W. Jacobs:

Finding Salient Convex Groups. 237-269 - Allan D. Jepson, Michael J. Black:

Mixture Models for Optical Flow Computation. 271-286 - Yibing Yang, Alan L. Yuille:

Multilevel Detection of Stereo Disparity Surfaces. 287-309
Part 4. Human Vision
- Irving Biederman:

Some Problems of Visual Shape Recognition to Which the Application of Clustering Mathematics Might Yield Some Potential Benefits. 313-329 - Jacob Feldman:

Perceptual Models of Small Dot Clusters. 331-357 - Béla Julesz:

Subjective Contours in Early Vision and Beyond. 359-371 - Daniel J. Kersten, Suthep Madarasmi:

The Visual Perception of Surfaces, their Properties and Relationships. 373-389 - Steven W. Zucker:

Visual Computations and Dot Cluster. 391-408

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