Jim Bezdek

Cluster tendency assessment in neuronal spike data.

Sara Mahallati, James C Bezdek, Milos R Popovic, Taufik A Valiante

Journal article  |  2019  |  PLOS ONE

Sorting spikes from extracellular recording into clusters associated with distinct single units (putative neurons) is a fundamenta..

A Scalable Framework for Trajectory Prediction

Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami, James C Bezdek

Journal article  |  2019  |  IEEE Transactions on Intelligent Transportation Systems

Trajectory prediction (TP) is of great importance for a wide range of location-based applications in intelligent transport systems..

A weighted multiple classifier framework based on random projection

TT Nguyen, MT Dang, AWC Liew, JC Bezdek

Journal article  |  2019  |  Information Sciences

Fog-Embedded Deep Learning for the Internet of Things

L Lyu, JC Bezdek, X He, J Jin

Journal article  |  2019  |  IEEE Transactions on Industrial Informatics

© 2005-2012 IEEE. In current deep learning models, centralized architecture forces participants to pool their data to the central ..

Approximating Dunn's Cluster Validity Indices for Partitions of Big Data

Punit Rathore, Zahra Ghafoori, James C Bezdek, Marimuthu Palaniswami, Christopher Leckie

Journal article  |  2019  |  IEEE Transactions on Cybernetics

Online cluster validity indices for performance monitoring of streaming data clustering

Masud Moshtaghi, James C Bezdek, Sarah M Erfani, Christopher Leckie, James Bailey

Journal article  |  2019  |  International Journal of Intelligent Systems

A Rapid Hybrid Clustering Algorithm for Large Volumes of High Dimensional Data

Punit Rathore, Dheeraj Kumar, James C Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami

Journal article  |  2019  |  IEEE Transactions on Knowledge and Data Engineering

Fuzzy clustering: A historical perspective

EH Ruspini, JC Bezdek, JM Keller

Journal article  |  2019  |  IEEE Computational Intelligence Magazine

Urban sensing for anomalous event detection: Distinguishing between legitimate traffic changes and abnormal traffic variability

M Zameni, M He, M Moshtaghi, Z Ghafoori, C Leckie, JC Bezdek, K Ramamohanarao

Conference Proceedings  |  2019  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Optimizing the C index using a canonical genetic algorithm

TA Runkler, JC Bezdek

Conference Proceedings  |  2019  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

© Springer Nature Switzerland AG 2019. Clustering is an important family of unsupervised machine learning methods. Cluster validit..

Dealing with Inliers in Feature Vector Data

Dheeraj Kumar, Zahra Ghafoori, James C Bezdek, Christopher Leckie, Kotagiri Ramamohanarao, Marimuthu Palaniswami

Journal article  |  2018  |  International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems

Analysis of streaming clustering using an incremental validity index

OA Ibrahim, JM Keller, JC Bezdek

Conference Proceedings  |  2018  |  2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

© 2018 IEEE. In this paper, we study the internal incremental Davies-Bouldin (iiDB) cluster validity index in the context of strea..

Efficient Unsupervised Parameter Estimation for One-Class Support Vector Machines

Zahra Ghafoori, Sarah M Erfani, Sutharshan Rajasegarar, James C Bezdek, Shanika Karunasekera, Christopher Leckie

Journal article  |  2018  |  IEEE Transactions on Neural Networks and Learning Systems

Privacy-preserving collaborative fuzzy clustering

Lingjuan Lyu, James C Bezdek, Yee Wei Law, Xuanli He, Marimuthu Palaniswami

Journal article  |  2018  |  Data & Knowledge Engineering

Ensemble Fuzzy Clustering Using Cumulative Aggregation on Random Projections

Punit Rathore, James C Bezdek, Sarah M Erfani, Sutharshan Rajasegarar, Marimuthu Palaniswami

Journal article  |  2018  |  IEEE Transactions on Fuzzy Systems

Editorial Celebrating 25 Years of the IEEE Transactions on Fuzzy Systems

Editorship  |  2018  |  IEEE Transactions on Fuzzy Systems

Approximate Cluster Heat Maps of Large High-Dimensional Data

Punit Rathore, James C Bezdek, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami

Conference Proceedings  |  2018  |  2018 24th International Conference on Pattern Recognition (ICPR)

The problem of determining whether clusters are present in numerical data (tendency assessment) is an important first step of clus..

Interpreting cluster structure in waveform data with visual assessment and Dunn’s index

S Mahallati, JC Bezdek, D Kumar, MR Popovic, TA Valiante

Book Chapter  |  2018  |  Studies in Computational Intelligence

Estimating Generalized Dunn's Cluster Validity Indices for Big Data

Punit Rathore, Zahra Ghafoori, James C Bezdek, Marimuthu Palaniswami, Christopher Leckie

Conference Proceedings  |  2018  |  2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Exponentially Weighted Ellipsoidal Model for Anomaly Detection

M Moshtaghi, SM Erfani, C Leckie, JC Bezdek

Journal article  |  2017  |  International Journal of Intelligent Systems (IJIS)

Extending Information-Theoretic Validity Indices for Fuzzy Clustering

Yang Lei, James C Bezdek, Jeffrey Chan, Xuan Vinh Nguyen, Simone Romano, James Bailey

Journal article  |  2017  |  IEEE Transactions on Fuzzy Systems

Ground truth bias in external cluster validity indices

Yang Lei, James C Bezdek, Simone Romano, Xuan Vinh Nguyen, Jeffrey Chan, James Bailey

Journal article  |  2017  |  Pattern Recognition

A visual-numeric approach to clustering and anomaly detection for trajectory data

Dheeraj Kumar, James C Bezdek, Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami

Journal article  |  2017  |  The Visual Computer

Fast Memory Efficient Local Outlier Detection in Data Streams (Extended Abstract)

Mahsa Salehi, Christopher Leckie, James C Bezdek, Tharshan Vaithianathan, Xuyun Zhang

Conference Proceedings  |  2017  |  2017 IEEE 33rd International Conference on Data Engineering (ICDE)

Fuzzy c-Shape: A new algorithm for clustering finite time series waveforms

Fateme Fahiman, James C Bezdek, Sarah M Erfani, Marimuthu Palaniswami, Christopher Leckie

Conference Proceedings  |  2017  |  2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

Fast Memory Efficient Local Outlier Detection in Data Streams

Mahsa Salehi, Christopher Leckie, James C Bezdek, Tharshan Vaithianathan, Xuyun Zhang

Journal article  |  2016  |  IEEE Transactions on Knowledge and Data Engineering

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

Journal article  |  2016  |  ACM Transactions on Knowledge Discovery from Data

Visual Assessment of Clustering Tendency for Incomplete Data

Laurence AF Park, James C Bezdek, Christopher Leckie, Ramamohanarao Kotagiri, James Bailey, Marimuthu Palaniswami

Journal article  |  2016  |  IEEE Transactions on Knowledge and Data Engineering

The Generalized C Index for Internal Fuzzy Cluster Validity

James C Bezdek, Masud Moshtaghi, Thomas Runkler, Christopher Leckie

Journal article  |  2016  |  IEEE Transactions on Fuzzy Systems

A Hybrid Approach to Clustering in Big Data

Dheeraj Kumar, James C Bezdek, Marimuthu Palaniswami, Sutharshan Rajasegarar, Christopher Leckie, Timothy Craig Havens

Journal article  |  2016  |  IEEE Transactions on Cybernetics

Online clustering of multivariate time-series

M Moshtaghi, C Leckie, JC Bezdek

Conference Proceedings  |  2016  |  16th SIAM International Conference on Data Mining 2016, SDM 2016

Copyright © by SIAM. The intrinsic nature of streaming data requires algorithms that are capable of fast data analysis to extract ..

Smart sampling: A novel unsupervised boosting approach for outlier detection

M Salehi, X Zhang, JC Bezdek, C Leckie

Conference Proceedings  |  2016  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

© Springer International Publishing AG 2016. While various ensemble algorithms have been proposed for supervised ensembles or clus..

Local Outlier Detection for Data Streams in Sensor Networks: Revisiting the Utility Problem Invited Paper

Mahsa Salehi, Christopher Leckie, James C Bezdek, Tharshan Vaithianathan

Conference Proceedings  |  2015  |  2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)

Improvements to the relational fuzzy c-means clustering algorithm

Mohammed A Khalilia, James Bezdek, Mihail Popescu, James M Keller

Journal article  |  2014  |  Pattern Recognition

High-Resolution Monitoring of Atmospheric Pollutants Using a System of Low-Cost Sensors

Sutharshan Rajasegarar, Timothy C Havens, Shanika Karunasekera, Christopher Leckie, James C Bezdek, Milan Jamriska, Ajith Gunatilaka, Alex Skvortsov, Marimuthu Palaniswami

Journal article  |  2014  |  IEEE Transactions on Geoscience and Remote Sensing

Streaming analysis in wireless sensor networks

Masud Moshtaghi, James C Bezdek, Timothy C Havens, Christopher Leckie, Shanika Karunasekera, Sutharshan Rajasegarar, Marimuthu Palaniswami

Journal article  |  2014  |  Wireless Communications and Mobile Computing

Linguistic Prototypes for Data From Eldercare Residents

Anna Wilbik, James M Keller, James C Bezdek

Journal article  |  2014  |  IEEE Transactions on Fuzzy Systems

Generalized Information Theoretic Cluster Validity Indices for Soft Clusterings

Y Lei, JC Bezdek, J Chan, X Nguyen, Simone Romano, J BAILEY

Conference Proceedings  |  2014  |  2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)

Multidimensional scaling with multiswarming

TA Runkler, JC Bezdek

Conference Proceedings  |  2014  |  2014 IEEE Congress on Evolutionary Computation (CEC)

© 2014 IEEE. We introduce a new method for multidimensional scaling in dissimilarity data that is based on preservation of metric ..

A Soft Modularity Function For Detecting Fuzzy Communities in Social Networks

Timothy C Havens, James C Bezdek, Christopher Leckie, Kotagiri Ramamohanarao, Marimuthu Palaniswami

Journal article  |  2013  |  IEEE Transactions on Fuzzy Systems

Scalable single linkage hierarchical clustering for big data

TC Havens, JC Bezdek, M Palaniswami

Conference Proceedings  |  2013  |  IEEE ISSNIP: Sensing the Future

The parable of zoltan

JC Bezdek

Book Chapter  |  2013  |  Studies in Fuzziness and Soft Computing

clusiVAT: A Mixed Visual/Numerical Clustering Algorithm for Big Data

Dheeraj Kumar, Marimuthu Palaniswami, Sutharshan Rajasegarar, Christopher Leckie, James C Bezdek, Timothy C Havens

Conference Proceedings  |  2013  |  Proceedings of the 2013 IEEE International Conference on Big Data

Clustering and visualization of fuzzy communities in social networks

TC Havens, JC Bezdek, CA Leckie, JK Chan, W Liu, J Bailey, R Kotagiri, MS Palaniswami

Conference Proceedings  |  2013  |  Proceedings of the 2013 IEEE International Conference on Fuzzy Systems

Extension of iVAT to Asymmetric Matrices

Timothy C Havens, James C Bezdek, Christopher Leckie, Marimuthu Palaniswami

Conference Proceedings  |  2013  |  Proceedings of the 2013 IEEE International Conference on Fuzzy Systems

Fuzzy c-Means Algorithms for Very Large Data

Timothy C Havens, James C Bezdek, Christopher Leckie, Lawrence O Hall, Marimuthu Palaniswami

Journal article  |  2012  |  IEEE Transactions on Fuzzy Systems

Comparison of scalable fuzzy clustering methods

JK Parker, LO Hall, JC Bezdek

Conference Proceedings  |  2012  |  Proceedings of IEEE International Conference on Fuzzy Systems

A new formulation of the coVAT algorithm for visual assessment of clustering tendency in rectangular data

Timothy C Havens, James C Bezdek

Journal article  |  2012  |  International Journal of Intelligent Systems

Cluster Validity For Kernel Fuzzy Clustering

Timothy C Havens, James C Bezdek, Marimuthu Palaniswami

Conference Proceedings  |  2012  |  Proceedings of IEEE International Conference on Fuzzy Systems

Incremental Kernel Fuzzy Means

Timothy C Havens, James C Bezdek, Marimuthu Palaniswami

Book Chapter  |  2012  |  Studies in Computational Intelligence

Measures for Clustering and Anomaly Detection in Sets of Higher Dimensional Ellipsoids

Sutharshan Rajasegarar, James C Bezdek, Masud Moshtaghi, Christopher Leckie, Timothy C Havens, Marimuthu Palaniswami

Conference Proceedings  |  2012  |  Proceedings of WCCI 2012 IEEE World Congress on Computational Intelligence

Incremental elliptical boundary estimation for anomaly detection in Wireless Sensor Networks

M Moshtaghi, C Leckie, S Karunasekera, JC Bezdek, S Rajasegarar, M Palaniswami

Conference Proceedings  |  2011  |  Proceedings of the 11th IEEE International Conference on Data Mining (ICDM 2011)

Anomaly Detection in Environmental Monitoring Networks

James C Bezdek, Sutharshan Rajasegarar, Masud Moshtaghi, Chris Leckie, Marimuthu Palaniswami, Timothy C Havens

Journal article  |  2011  |  IEEE Computational Intelligence Magazine

Approximate pairwise clustering for large data sets via sampling plus extension

Liang Wang, Christopher Leckie, Ramamohanarao Kotagiri, James Bezdek

Journal article  |  2011  |  Pattern Recognition

Clustering ellipses for anomaly detection

Masud Moshtaghi, Timothy C Havens, James C Bezdek, Laurence Park, Christopher Leckie, Sutharshan Rajasegarar, James M Keller, Marimuthu Palaniswami

Journal article  |  2011  |  Pattern Recognition

EP-based robust weighting scheme for fuzzy SVMS

S Zhang, K Ramamohanarao, JC Bezdek

Conference Proceedings  |  2010  |  Australian Computer Science Communications: Database Technologies, Proceedings of the 21st Australasian Database Conference (ADC 2010)

Enhanced Visual Analysis for Cluster Tendency Assessment and Data Partitioning

Liang Wang, Xin Geng, James Bezdek, Christopher Leckie, Kotagiri Ramamohanarao

Journal article  |  2010  |  IEEE Transactions on Knowledge and Data Engineering

Centered Hyperspherical and Hyperellipsoidal One-Class Support Vector Machines for Anomaly Detection in Sensor Networks

Sutharshan Rajasegarar, Christopher Leckie, James C Bezdek, Marimuthu Palaniswami

Journal article  |  2010  |  IEEE Transactions on Information Forensics and Security

Clustering elliptical anomalies in sensor networks

James C Bezdek, Timothy C Havens, James M Keller, Chris Leckie, Laurence Park, Marimuthu Palaniswami, Sutharshan Rajasegarar

Conference Proceedings  |  2010  |  Proceedings of the IEEE International Conference on Fuzzy Systems 2010

iVAT and aVAT: Enhanced Visual Analysis for Cluster Tendency Assessment

Liang Wang, Uyen TV Nguyen, James C Bezdek, Christopher A Leckie, Kotagiri Ramamohanarao

Conference Proceedings  |  2010  |  Advances in Knowledge Discovery and Data Mining (Lecture Notes in Computer Science)

Elliptical Anomalies in Wireless Sensor Networks

Sutharshan Rajasegarar, James C Bezdek, Christopher Leckie, Marimuthu Palaniswami

Journal article  |  2009  |  ACM Transactions on Sensor Networks

Visualization of clusters in very large rectangular dissimilarity data

LAF Park, JC Bezdek, CA Leckie

Conference Proceedings  |  2009  |  Proceedings of the Fourth International Conference on Autonomous Robots and Agents (ICARA 2009)

Automatically Determining the Number of Clusters in Unlabeled Data Sets

Liang Wang, Christopher Leckie, Kotagiri Ramamohanarao, James Bezdek

Journal article  |  2009  |  IEEE Transactions on Knowledge and Data Engineering

Approximate Spectral Clustering

Liang Wang, Christopher Leckie, Kotagiri Ramamohanarao, James Bezdek

Conference Proceedings  |  2009  |  Advances in Knowledge Discovery and Data Mining (Lecture Notes in Computer Science)

Adapting Spectral Co-clustering to Documents and Terms Using Latent Semantic Analysis

Laurence AF Park, Christopher A Leckie, Kotagiri Ramamohanarao, James C Bezdek

Conference Proceedings  |  2009  |  Lecture Notes in Artificial Intelligence: AI 2009: Advances in Artificial Intelligence, 22nd Australasian Joint Conference

Selective sampling for approximate clustering of very large data sets

Liang Wang, James C Bezdek, Christopher Leckie, Ramamohanarao Kotagiri

Journal article  |  2008  |  International Journal of Intelligent Systems

Tensor space learning for analyzing activity patterns from video sequences

L Wang, C Leckie, X Wang, R Kotagiri, J Bezdek

Conference Proceedings  |  2007  |  ICDM Workshops 2007: Proceedings of the Seventh IEEE International Conference on Data Mining Workshops

Analysis of anomalies in IBRL data from a wireless sensor network deployment

S Rajasegarar, JC Bezdek, C Leckie, M Palaniswami

Conference Proceedings  |  2007  |  International Conference on Sensor Technologies and Applications SENSORCOMM 2007

Quarter Sphere Based Distributed Anomaly Detection in Wireless Sensor Networks

S Rajasegarar, C LECKIE, M PALANISWAMI, J Bezdek

Conference Proceedings  |  2007  |  2007 IEEE International Conference on Communications

Approximate data mining in very large relational data

JC Bezdek, RJ Hathaway, C Leckie, R Kotagiri

Conference Proceedings  |  2006  |  Proceedings of the 17th Australasian Database Conference

Distributed anomaly detection in wireless sensor networks

S Rajasegarar, C Leckie, M Palaniswami, JC Bezdek

Conference Proceedings  |  2006  |  Proceedings of the 10th IEEE Singapore International Conference on Communication Systems

Approximate clustering in very large relational data

James C Bezdek, Richard J Hathaway, Jacalyn M Huband, Christopher Leckie, Ramamohanarao Kotagiri

Journal article  |  2006  |  International Journal of Intelligent Systems

Word recognition using fuzzy logic

R Buse, ZQ Liu, J Bezdek

Journal article  |  2002  |  IEEE Transactions on Fuzzy Systems