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» Evaluation of clustering algorithms for gene expression data
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BMCBI
2005
179views more  BMCBI 2005»
15 years 7 months ago
MARS: Microarray analysis, retrieval, and storage system
Background: Microarray analysis has become a widely used technique for the study of geneexpression patterns on a genomic scale. As more and more laboratories are adopting microarr...
Michael Maurer, Robert Molidor, Alexander Sturn, J...
ICDM
2007
IEEE
119views Data Mining» more  ICDM 2007»
16 years 1 months ago
Reducing UK-Means to K-Means
This paper proposes an optimisation to the UK-means algorithm, which generalises the k-means algorithm to handle objects whose locations are uncertain. The location of each object...
Sau Dan Lee, Ben Kao, Reynold Cheng
PRIS
2004
15 years 8 months ago
Comparison of Combination Methods using Spectral Clustering Ensembles
We address the problem of the combination of multiple data partitions, that we call a clustering ensemble. We use a recent clustering approach, known as Spectral Clustering, and th...
André Lourenço, Ana L. N. Fred
CIKM
2010
Springer
15 years 5 months ago
Evaluating, combining and generalizing recommendations with prerequisites
We consider the problem of recommending the best set of k items when there is an inherent ordering between items, expressed as a set of prerequisites (e.g., the movie ‘Godfather...
Aditya G. Parameswaran, Hector Garcia-Molina, Jeff...
CINQ
2004
Springer
133views Database» more  CINQ 2004»
15 years 10 months ago
Inductive Querying for Discovering Subgroups and Clusters
We introduce the problem of cluster-grouping and show that it integrates several important data mining tasks, i.e. subgroup discovery, mining correlated patterns and aspects from c...
Albrecht Zimmermann, Luc De Raedt