World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
8032
World Ranking
11481
National Ranking
4716

Overview

Richard J. Hathaway is affiliated with Georgia Southern University in the United States. Their research is primarily situated within the field of Computer Science, with a particular focus on Computer Vision and Pattern Recognition as well as Artificial Intelligence.

Their recent scholarly contributions include publications on advanced data visualization and clustering algorithms. Specifically, these works are centered on image processing techniques and analytical methods for labeled data.

  • Diagonally Colorized iVAT Images for Labeled Data, 2022, 2022 IEEE International Conference on Data Mining Workshops (ICDMW)
  • Colorized iVAT Images for Labeled Data, 2023, Advances in Science Technology and Engineering Systems Journal

Frequent collaboration is evident with Elizabeth D. Hathaway, who appears as a co-author on the most recent papers authored by Richard J. Hathaway.

  • Elizabeth D. Hathaway

The scientist has published in venues including:

  • 2022 IEEE International Conference on Data Mining Workshops (ICDMW)
  • Advances in Science Technology and Engineering Systems Journal

Research topics explored by Richard J. Hathaway include:

  • Advanced Clustering Algorithms Research
  • Data Visualization and Analytics
  • Image Retrieval and Classification Techniques

Their work encompasses developing and applying new image visualization methods that improve the interpretability of data clustering outcomes. These methods contribute to the broader fields of image retrieval and classification by enhancing the ways labeled data are represented and analyzed.

Best Publications

  • Switching regression models and fuzzy clustering

    R.J. Hathaway;J.C. Bezdek

  • Convergence theory for fuzzy c-means: Counterexamples and repairs

    J. C. Bezdek;R. J. Hathaway;M. J. Sabin;W. T. Tucker

  • Fuzzy c-means clustering of incomplete data

    R.J. Hathaway;J.C. Bezdek

  • Convergence of alternating optimization

    James C. Bezdek;Richard J. Hathaway

  • VAT: a tool for visual assessment of (cluster) tendency

    J.C. Bezdek;R.J. Hathaway

  • Relational duals of the c-means clustering algorithms

    Richard J. Hathaway;John W. Davenport;James C. Bezdek

  • Nerf c-means: Non-Euclidean relational fuzzy clustering

    Richard J. Hathaway;James C. Bezdek

  • Generalized fuzzy c-means clustering strategies using L/sub p/ norm distances

    R.J. Hathaway;J.C. Bezdek;Yingkang Hu

  • Some Notes on Alternating Optimization

    James C. Bezdek;Richard J. Hathaway

  • Another interpretation of the EM algorithm for mixture distributions

    Richard J. Hathaway

  • Optimization of clustering criteria by reformulation

    R.J. Hathaway;J.C. Bezdek

  • Recent convergence results for the fuzzy c-means clustering algorithms

    Richard J. Hathaway;James C. Bezdek

  • Local convergence analysis of a grouped variable version of coordinate descent

    J. C. Bezdek;R. J. Hathaway;R. E. Howard;C. A. Wilson

  • A parametric model for fusing heterogeneous fuzzy data

    R.J. Hathaway;J.C. Bezdek;W. Pedrycz

  • Sequential competitive learning and the fuzzy c -means clustering algorithms

    Nikhil R. Pal;James C. Bezdek;Richard J. Hathaway

  • A constrained EM algorithm for univariate normal mixtures

    Richard J. Hathaway

  • Extending fuzzy and probabilistic clustering to very large data sets

    Richard J. Hathaway;James C. Bezdek

  • Visual Assessment of Clustering Tendency for Rectangular Dissimilarity Matrices

    J.C. Bezdek;R.J. Hathaway;J.M. Huband

  • Optimization of fuzzy clustering criteria using genetic algorithms

    J.C. Bezdek;R.J. Hathaway

  • Scalable visual assessment of cluster tendency for large data sets

    Richard J. Hathaway;James C. Bezdek;Jacalyn M. Huband

Frequent Co-Authors

James C. Bezdek
James C. Bezdek University of Melbourne
Nikhil R. Pal
Nikhil R. Pal Indian Statistical Institute
Witold Pedrycz
Witold Pedrycz University of Alberta
Christopher Leckie
Christopher Leckie University of Melbourne

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