J
James C. Bezdek
Researcher at University of Melbourne
Publications - 401
Citations - 57266
James C. Bezdek is an academic researcher from University of Melbourne. The author has contributed to research in topics: Cluster analysis & Fuzzy logic. The author has an hindex of 86, co-authored 400 publications receiving 53852 citations. Previous affiliations of James C. Bezdek include University of Florida & Becton Dickinson.
Papers
More filters
Journal ArticleDOI
Dynamic image sequence analysis using fuzzy measures
Zhi-Qiang Liu,L.T. Bruton,James C. Bezdek,James M. Keller,Sandy Dance,N.R. Bartley,Cishen Zhang +6 more
TL;DR: This work applies a simple, powerful three-dimensional recursive filter to tracking moving objects in a dynamic image sequence with time-varying 3-D frequency-planar passband to capture subtle variations and manage the uncertainties involved.
Journal ArticleDOI
Knowledge-assisted document retrieval. II: The retrieval process
TL;DR: This article presents a conceptual model of the retrieval process of a document-retrieval system, which has been prototypically implemented in modular form to test system response to changes in model parameters.
Journal ArticleDOI
A note on self-organizing semantic maps
James C. Bezdek,Nikhil R. Pal +1 more
TL;DR: It is shown that augmentation and normalization of numerical feature data as recommended for the SOSM is entirely unnecessary to obtain semantic maps that exhibit semantic similarities between objects represented by the data.
Journal ArticleDOI
Adaptive Cluster Tendency Visualization and Anomaly Detection for Streaming Data
Dheeraj Kumar,James C. Bezdek,Sutharshan Rajasegarar,Marimuthu Palaniswami,Christopher Leckie,Jeffrey Chan,Jayavardhana Gubbi +6 more
TL;DR: Two new relatives of the visual assessment of tendency (VAT), which uses cluster heat maps to visualize structure in static datasets, are developed and exemplifies and demonstrated their ability to successfully isolate anomalies and visualize changing cluster structure in the streaming data.
Book ChapterDOI
Quantifying Different Facets of Fuzzy Uncertainty
Nikhil R. Pal,James C. Bezdek +1 more
TL;DR: In this chapter, the need for and quantification of higher order measures of fuzziness and weighted fuzziness are presented and a few attempts to quantify non-specificity are discussed.