Bezdek, A.[Ales]
* 2020: Iterative ICA-Based Reconstruction Method to Produce Consistent Time-Variable Total Water Storage Fields Using GRACE and Swarm Satellite Data, An
Includes: Bezdek, A.[Ales] Bezdek, A.[Aleš]
Bezdek, J.[James]
* 2010: Combining Real and Virtual Graphs to Enhance Data Clustering
* 2011: Approximate pairwise clustering for large data sets via sampling plus extension
* 2014: Improvements to the relational fuzzy c-means clustering algorithm
Bezdek, J.C.
* 1981: Pattern Recognition with Fuzzy Objective Function Algorithms
* 1984: Curvature and Tangential Deflection of Discrete Arcs: A Theory Based on the Commutator of Scatter Matrix Pairs and Its Application to Vertex Detection in Planar Shape Data
* 1986: Efficient Implementation of the Fuzzy C-Means Clustering Algorithm
* 1986: Local convergence of the fuzzy c-Means algorithms
* 1986: Low-level Segmentation of Aerial Images Using Fuzzy Clustering
* 1986: Segmentation of a Thematic Mapper Image Using the Fuzzy C-Means Clustering Algorithms
* 1988: Core zone scatterplots: A new approach to feature extraction for visual displays
* 1988: Heuristics for Intermediate-Level Road Finding Algorithms
* 1988: Optimality tests for fixed points of the fuzzy c-means algorithm
* 1989: Relational duals of the C-means clustering algorithms
* 1990: Reply to Comments on: optimality test for fixed points
* 1992: Fuzzy Models for Pattern Recognition
* 1993: Review of MR image segmentation techniques using pattern recognition
* 1994: Fuzzy Kohonen clustering networks
* 1994: Nerf c-means: Non-Euclidean relational fuzzy clustering
* 1995: Index of Topological Preservation for Feature-Extraction, An
* 1996: On Relational Data Versions of C-Means Algorithms
* 1996: Partially Supervised Clustering for Image Segmentation
* 1999: Fuzzy Models and Algorithms for Pattern Recognition and Image Processing
* 2001: Decision templates for multiple classifier fusion: An Experimental Comparison
* 2002: Clustering incomplete relational data using the non-Euclidean relational fuzzy c-means algorithm
* 2002: Complexity reduction for large image processing
* 2003: Visual cluster validity for prototype generator clustering models
* 2005: bigVAT: Visual assessment of cluster tendency for large data sets
* 2006: Maximin Initialization for Cluster Analysis
* 2006: Scalable visual assessment of cluster tendency for large data sets
* 2008: Dunn's cluster validity index as a contrast measure of VAT images
* 2011: Clustering ellipses for anomaly detection
* 2014: High-Resolution Monitoring of Atmospheric Pollutants Using a System of Low-Cost Sensors
* 2017: Ground truth bias in external cluster validity indices
* 2017: visual-numeric approach to clustering and anomaly detection for trajectory data, A
* 2018: Approximate Cluster Heat Maps of Large High-Dimensional Data
* 2019: Scalable Framework for Trajectory Prediction, A
* 2021: Visual Structural Assessment and Anomaly Detection for High-Velocity Data Streams
Includes: Bezdek, J.C. Bezdek, J.C.[James C.] Bezdek, J.C.[James. C.]
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