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ANNPR
2008
Springer
15 years 3 months ago
Patch Relational Neural Gas - Clustering of Huge Dissimilarity Datasets
Clustering constitutes an ubiquitous problem when dealing with huge data sets for data compression, visualization, or preprocessing. Prototype-based neural methods such as neural g...
Alexander Hasenfuss, Barbara Hammer, Fabrice Rossi
SDM
2008
SIAM
140views Data Mining» more  SDM 2008»
15 years 2 months ago
Creating a Cluster Hierarchy under Constraints of a Partially Known Hierarchy
Although clustering under constraints is a current research topic, a hierarchical setting, in which a hierarchy of clusters is the goal, is usually not considered. This paper trie...
Korinna Bade, Andreas Nürnberger
ICASSP
2010
IEEE
15 years 1 months ago
A nonnegative sparsity induced similarity measure with application to cluster analysis of spam images
Image spam is an email spam that embeds text content into graphical images to bypass traditional spam filters. The majority of previous approaches focus on filtering image spam ...
Yan Gao, Alok N. Choudhary, Gang Hua
FCSC
2010
238views more  FCSC 2010»
14 years 10 months ago
Knowledge discovery through directed probabilistic topic models: a survey
Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...
Ali Daud, Juanzi Li, Lizhu Zhou, Faqir Muhammad
WIDM
2003
ACM
15 years 6 months ago
Clustering documents in a web directory
Hierarchical categorization of documents is a task receiving growing interest due to the widespread proliferation of topic hierarchies for text documents. The worst problem of hie...
Giordano Adami, Paolo Avesani, Diego Sona