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» A practical comparison of two K-Means clustering algorithms
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CORR
2010
Springer
103views Education» more  CORR 2010»
14 years 11 months ago
Exploratory Analysis of Functional Data via Clustering and Optimal Segmentation
We propose in this paper an exploratory analysis algorithm for functional data. The method partitions a set of functions into K clusters and represents each cluster by a simple pr...
Georges Hébrail, Bernard Hugueney, Yves Lec...
92
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COMPUTING
2008
94views more  COMPUTING 2008»
14 years 11 months ago
Two new methods for constructing double-ended priority queues from priority queues
We introduce two data-structural transformations to construct doubleended priority queues from priority queues. To apply our transformations the priority queues exploited must sup...
Amr Elmasry, Claus Jensen, Jyrki Katajainen
JMLR
2006
135views more  JMLR 2006»
14 years 11 months ago
Statistical Comparisons of Classifiers over Multiple Data Sets
While methods for comparing two learning algorithms on a single data set have been scrutinized for quite some time already, the issue of statistical tests for comparisons of more ...
Janez Demsar
IDA
2005
Springer
15 years 5 months ago
Biological Cluster Validity Indices Based on the Gene Ontology
With the invention of biotechnological high throughput methods like DNA microarrays and the analysis of the resulting huge amounts of biological data, clustering algorithms gain ne...
Nora Speer, Christian Spieth, Andreas Zell
CSDA
2008
128views more  CSDA 2008»
14 years 11 months ago
Assessing agreement of clustering methods with gene expression microarray data
In the rapidly evolving field of genomics, many clustering and classification methods have been developed and employed to explore patterns in gene expression data. Biologists face...
Xueli Liu, Sheng-Chien Lee, George Casella, Gary F...