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» Identifying Objects Using Cluster and Concept Analysis
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EKAW
2000
Springer
15 years 6 months ago
KIDS: An Iterative Algorithm to Organize Relational Knowledge
The goal of conceptual clustering is to build a set of embedded classes, which cluster objects based on their similarities. Knowledge organization aims at generating the set of mos...
Isabelle Bournaud, Mélanie Courtine, Jean-D...
WCRE
1996
IEEE
15 years 7 months ago
Finding Reusable Software Components in Large Systems
The extraction of reusable software components from existing systems is an attractive idea. The goal of the work in this paper is not to extract a component automatically, but to ...
James M. Neighbors
NECO
2008
134views more  NECO 2008»
15 years 3 months ago
Latent Features in Similarity Judgments: A Nonparametric Bayesian Approach
One of the central problems in cognitive science is determining the mental representations that underlie human inferences. Solutions to this problem often rely on the analysis of ...
Daniel J. Navarro, Thomas L. Griffiths
ICSR
2004
Springer
15 years 8 months ago
Feature Dependency Analysis for Product Line Component Design
Analyzing commonalities and variabilities among products of a product line is an essential activity for product line asset development. A feature-oriented approach to commonality a...
Kwanwoo Lee, Kyo Chul Kang
TCBB
2008
107views more  TCBB 2008»
15 years 3 months ago
Coclustering of Human Cancer Microarrays Using Minimum Sum-Squared Residue Coclustering
It is a consensus in microarray analysis that identifying potential local patterns, characterized by coherent groups of genes and conditions, may shed light on the discovery of pre...
Hyuk Cho, Inderjit S. Dhillon