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» A clustering method that uses lossy aggregation of data
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DKE
2002
218views more  DKE 2002»
15 years 14 days ago
Computing iceberg concept lattices with T
We introduce the notion of iceberg concept lattices and show their use in knowledge discovery in databases. Iceberg lattices are a conceptual clustering method, which is well suit...
Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas P...
125
Voted
ICPADS
1998
IEEE
15 years 4 months ago
A Comparison of Two Torus-Based K-Coteries
We extend a torus-based coterie structure for distributed mutual exclusion to allow k multiple entries in a critical section. In the original coterie, the system nodes are logical...
S. D. Lang, L. J. Mao
BMCBI
2004
206views more  BMCBI 2004»
15 years 15 days ago
Combining gene expression data from different generations of oligonucleotide arrays
Background: One of the important challenges in microarray analysis is to take full advantage of previously accumulated data, both from one's own laboratory and from public re...
Kyu Baek Hwang, Sek Won Kong, Steven A. Greenberg,...
115
Voted
CVPR
2010
IEEE
14 years 10 months ago
Multi-structure model selection via kernel optimisation
Our goal is to fit the multiple instances (or structures) of a generic model existing in data. Here we propose a novel model selection scheme to estimate the number of genuine str...
Tat-Jun Chin, David Suter, Hanzi Wang
BMCBI
2007
105views more  BMCBI 2007»
15 years 23 days ago
Text-derived concept profiles support assessment of DNA microarray data for acute myeloid leukemia and for androgen receptor sti
Background: High-throughput experiments, such as with DNA microarrays, typically result in hundreds of genes potentially relevant to the process under study, rendering the interpr...
Rob Jelier, Guido Jenster, Lambert C. J. Dorssers,...