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EPIA
2011
Springer
12 years 7 months ago
Thematic Fuzzy Clusters with an Additive Spectral Approach
This paper introduces an additive fuzzy clustering model for similarity data as oriented towards representation and visualization of activities of research organizations in a hiera...
Susana Nascimento, Rui Felizardo, Boris Mirkin
KDD
2007
ACM
124views Data Mining» more  KDD 2007»
14 years 2 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
14 years 1 months ago
Efficient Clustering for Orders
Lists of ordered objects are widely used as representational forms. Such ordered objects include Web search results or best-seller lists. Clustering is a useful data analysis tech...
Toshihiro Kamishima, Shotaro Akaho
ECML
2006
Springer
13 years 11 months ago
An Adaptive Kernel Method for Semi-supervised Clustering
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
Bojun Yan, Carlotta Domeniconi
KES
2005
Springer
14 years 1 months ago
Towards Adaptive Clustering in Self-monitoring Multi-agent Networks
A Decentralised Adaptive Clustering (DAC) algorithm for self-monitoring impact sensing networks is presented within the context of CSIRO-NASA Ageless Aerospace Vehicle project. DAC...
Piraveenan Mahendra rajah, Mikhail Prokopenko, Pet...