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MSV
2004
14 years 11 months ago
MABAC - Matrix Based Clustering Algorithm
Clustering is a prominent method in the data mining field. It is a discovery process that groups data such that intra cluster similarity is maximized and the inter cluster similar...
Yonghui Chen, Alan P. Sprague, Kevin D. Reilly
AUIC
2002
IEEE
15 years 2 months ago
In Support of User Interface Design in the Rational Unified Process
The Rational Unified Process (RUP) is a use case driven iterative software engineering process User Interface design within the RUP involves user interface modelling and user inte...
Chris Phillips, Elizabeth A. Kemp
ICASSP
2010
IEEE
14 years 10 months ago
Learning from high-dimensional noisy data via projections onto multi-dimensional ellipsoids
In this paper, we examine the problem of learning from noisecontaminated data in high-dimensional space. A new learning approach based on projections onto multi-dimensional ellips...
Liuling Gong, Dan Schonfeld
FQAS
2004
Springer
126views Database» more  FQAS 2004»
15 years 3 months ago
Cluster Characterization through a Representativity Measure
Clustering is an unsupervised learning task which provides a decomposition of a dataset into subgroups that summarize the initial base and give information about its structure. We ...
Marie-Jeanne Lesot, Bernadette Bouchon-Meunier
ICGI
2004
Springer
15 years 3 months ago
Identifying Clusters from Positive Data
The present work studies clustering from an abstract point of view and investigates its properties in the framework of inductive inference. Any class S considered is given by a hyp...
John Case, Sanjay Jain, Eric Martin, Arun Sharma, ...