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ESANN
2006
13 years 7 months ago
Data topology visualization for the Self-Organizing Map
The Self-Organizing map (SOM), a powerful method for data mining and cluster extraction, is very useful for processing data of high dimensionality and complexity. Visualization met...
Kadim Tasdemir, Erzsébet Merényi
IJPRAI
2008
144views more  IJPRAI 2008»
13 years 6 months ago
Unsupervised Learning of a Hierarchy of Topological Maps Using Omnidirectional Images
unsupervised construction of topological maps, which provide an abstraction of the environment in terms of visual aspects. An unsupervised clustering algorithm is used to represent...
Ales Stimec, Matjaz Jogan, Ales Leonardis
ANNPR
2008
Springer
13 years 8 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
AICCSA
2001
IEEE
81views Hardware» more  AICCSA 2001»
13 years 9 months ago
Connectionist Approach for Website Visitors Behaviors Mining
In this paper, we propose a new version of the topological maps algorithm, which has been used to cluster web site visitors. These are characterized by partially redundant variabl...
Khalid Benabdeslem, Younès Bennani, Eric Ja...
SG
2009
Springer
14 years 15 days ago
TagClusters: Semantic Aggregation of Collaborative Tags beyond TagClouds
TagClouds is a popular visualization for the collaborative tags. However it has some instinct problems such as linguistic issues, high semantic density and poor understanding of hi...
Ya-Xi Chen, Rodrigo Santamaría, Andreas But...