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MSV
2004
15 years 3 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 7 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
15 years 2 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
107
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FQAS
2004
Springer
126views Database» more  FQAS 2004»
15 years 7 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 7 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, ...