Extreme physical information and objective function in fuzzy clustering
Fuzzy Sets and Systems - Clustering and modeling
Fuzzy cluster validation index based on inter-cluster proximity
Pattern Recognition Letters
Adaptive Local Thresholding with Fuzzy-Validity-Guided Spatial Partitioning
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
A new approach for measuring the validity of the fuzzy c-means algorithm
Advances in Engineering Software
Simulated Annealing Using a Reversible Jump Markov Chain Monte Carlo Algorithm for Fuzzy Clustering
IEEE Transactions on Knowledge and Data Engineering
A kernel-based subtractive clustering method
Pattern Recognition Letters
New indices for cluster validity assessment
Pattern Recognition Letters
A clustering algorithm based on maximal θ-distant subtrees
Pattern Recognition
Global optimization in clustering using hyperbolic cross points
Pattern Recognition
Feature-guided clustering of multi-dimensional flow cytometry datasets
Journal of Biomedical Informatics
On fuzzy cluster validity indices
Fuzzy Sets and Systems
A new unsupervised approach for fuzzy clustering
Fuzzy Sets and Systems
GAPS: A clustering method using a new point symmetry-based distance measure
Pattern Recognition
Unsupervised fuzzy learning and cluster seeking
Intelligent Data Analysis
Cybernetics and Systems Analysis
Data mining to cluster human performance by using online self regulating clustering method
MAASE'08 Proceedings of the 1st WSEAS International Conference on Multivariate Analysis and its Application in Science and Engineering
Efficient Bisecting k-Medoids and Its Application in Gene Expression Analysis
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Video redundancy detection in rushes collection
TVS '08 Proceedings of the 2nd ACM TRECVid Video Summarization Workshop
A Family of Cluster Validity Indexes Based on a l-Order Fuzzy OR Operator
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Unsupervised Pixel Classification in Satellite Imagery: A Two-stage Fuzzy Clustering Approach
Fundamenta Informaticae
Computationally efficient active rule detection method: Algorithm and architecture
Fuzzy Sets and Systems
Web Site Auditing Using Web Access Log Data
CNSR '09 Proceedings of the 2009 Seventh Annual Communication Networks and Services Research Conference
Expert Systems with Applications: An International Journal
Retracted Article: A New Cluster Validity Index for Fuzzy Clustering Based on Similarity Measure
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Robustness of density-based clustering methods with various neighborhood relations
Fuzzy Sets and Systems
A fuzzy modeling approach to cluster validity
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
A weight-featured and data-distribution-based fuzzy pattern classification approach
Control and Intelligent Systems
A novel fuzzy kernel C-means algorithm for document clustering
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
A new FCM-based algorithm of hydrophobic image segmentation
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3
Clustering Indian stock market data for portfolio management
Expert Systems with Applications: An International Journal
Fuzzy data clustering using artificial immune network
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
Validity-guided fuzzy clustering evaluation for neural network-based time-frequency reassignment
EURASIP Journal on Advances in Signal Processing - Special issue on time-frequency analysis and its applications to multimedia signals
Clustering with complex centers
AIKED'11 Proceedings of the 10th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
International Journal of Innovative Computing and Applications
Mapping multi-spectral remote sensing images using rule extraction approach
Expert Systems with Applications: An International Journal
A new similarity measure based robust possibilistic c-means clustering algorithm
WISM'11 Proceedings of the 2011 international conference on Web information systems and mining - Volume Part II
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Hybrid minimal spanning tree and mixture of gaussians based clustering algorithm
FoIKS'06 Proceedings of the 4th international conference on Foundations of Information and Knowledge Systems
Complex fuzzy c-means algorithm
Artificial Intelligence Review
Optimal number of clusters in wireless sensor networks: a FCM approach
International Journal of Sensor Networks
Data mining using clinical physiology at discharge to predict ICU readmissions
Expert Systems with Applications: An International Journal
Unsupervised Pixel Classification in Satellite Imagery: A Two-stage Fuzzy Clustering Approach
Fundamenta Informaticae
Robust kernelized approach to clustering by incorporating new distance measure
Engineering Applications of Artificial Intelligence
Fuzzy and hard clustering analysis for thyroid disease
Computer Methods and Programs in Biomedicine
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When clustering algorithms are applied to image segmentation, the goal is to solve a classification problem. However, these algorithms do not directly optimize classification duality. As a result, they are susceptible to two problems: 1) the criterion they optimize may not be a good estimator of “true” classification quality, and 2) they often admit many (suboptimal) solutions. This paper introduces an algorithm that uses cluster validity to mitigate problems 1 and 2. The validity-guided (re)clustering (VGC) algorithm uses cluster-validity information to guide a fuzzy (re)clustering process toward better solutions. It starts with a partition generated by a soft or fuzzy clustering algorithm. Then it iteratively alters the partition by applying (novel) split-and-merge operations to the clusters. Partition modifications that result in improved partition validity are retained. VGC is tested on both synthetic and real-world data. For magnetic resonance image (MRI) segmentation, evaluations by radiologists show that VGC outperforms the (unsupervised) fuzzy c-means algorithm, and VGC's performance approaches that of the (supervised) k-nearest-neighbors algorithm