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PAKDD
2005
ACM
142views Data Mining» more  PAKDD 2005»
15 years 2 months ago
Dynamic Cluster Formation Using Level Set Methods
Density-based clustering has the advantages for (i) allowing arbitrary shape of cluster and (ii) not requiring the number of clusters as input. However, when clusters touch each o...
Andy M. Yip, Chris H. Q. Ding, Tony F. Chan
CICLING
2010
Springer
15 years 24 days ago
A General Bio-inspired Method to Improve the Short-Text Clustering Task
"Short-text clustering" is a very important research field due to the current tendency for people to use very short documents, e.g. blogs, text-messaging and others. In s...
Diego Ingaramo, Marcelo Errecalde, Paolo Rosso
WILF
2009
Springer
138views Fuzzy Logic» more  WILF 2009»
15 years 4 months ago
An Experimental Validation of Some Indexes of Fuzzy Clustering Similarity
Measuring the similarity between clusterings is a classic problem with several proposed solutions. In this work we focus on measures based on coassociation of data pairs and perfor...
Stefano Rovetta, Francesco Masulli
ICPR
2000
IEEE
15 years 1 months ago
Geometrically Guided Fuzzy C-Means Clustering for Multivariate Image Segmentation
Fuzzy C-means (FCM) clustering is an unsupervised clustering technique and is often used for the unsupervised segmentation of multivariate images. The segmentation of the image in...
J. C. Noordam, W. H. A. M. Van den Broek, Lutgarde...
73
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EWIMT
2004
14 years 11 months ago
Fuzzy Clustering with Pairwise Constraints for Knowledge-Driven Image Categorization
The identification of categories in image databases usually relies on clustering algorithms that only exploit the feature-based similarities between images. The addition of semant...
Nizar Grira, Michel Crucianu, Nozha Boujemaa