Similarity-driven cluster merging method for unsupervised fuzzy clustering
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
General C-Means Clustering Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture image segmentation using combined features from spatial and spectral distribution
Pattern Recognition Letters
Extended fuzzy C-means clustering algorithm for hotspot events in spatial analysis
International Journal of Hybrid Intelligent Systems
Behavior Analysis of Volume Prototypes in High Dimensionality
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
On the efficiency of evolutionary fuzzy clustering
Journal of Heuristics
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Automatica (Journal of IFAC)
Clustering: A neural network approach
Neural Networks
Fuzzy clustering in classification using weighted features
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
Extended fuzzy C-means clustering in GIS environment for hot spot events
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
A fuzzy clustering approach using reward and penalty functions
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 6
Data compression by volume prototypes for streaming data
Pattern Recognition
Fuzzy clustering with hedge algebra
Proceedings of the 2010 Symposium on Information and Communication Technology
The extended fuzzy C-means algorithm for hotspots in spatio-temporal GIS
Expert Systems with Applications: An International Journal
A quality driven Hierarchical Data Divisive Soft Clustering for information retrieval
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Computers & Geosciences
Parameter-lite clustering algorithm based on MST and fuzzy similarity merging
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Advances in Fuzzy Systems - Special issue on Fuzzy Methods and Approximate Reasoning in Geographical Information Systems
Hotspots detection in spatial analysis via the extended gustafson-kessel algorithm
Advances in Fuzzy Systems - Special issue on Fuzzy Methods and Approximate Reasoning in Geographical Information Systems
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Two extensions to objective function-based fuzzy clustering are proposed. First, the (point) prototypes are extended to hypervolumes, whose size can be fixed or can be determined automatically from the data being clustered. It is shown that clustering with hypervolume prototypes can be formulated as the minimization of an objective function. Second, a heuristic cluster merging step is introduced where the similarity among the clusters is assessed during optimization. Starting with an overestimation of the number of clusters in the data, similar clusters are merged in order to obtain a suitable partitioning. An adaptive threshold for merging is proposed. The extensions proposed are applied to Gustafson-Kessel and fuzzy c-means algorithms, and the resulting extended algorithm is given. The properties of the new algorithm are illustrated by various examples.