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BMCBI
2010
118views more  BMCBI 2010»
14 years 9 months ago
From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...
SAC
2005
ACM
15 years 3 months ago
Rearranging data objects for efficient and stable clustering
When a partitional structure is derived from a data set using a data mining algorithm, it is not unusual to have a different set of outcomes when it runs with a different order of...
Gyesung Lee, Xindong Wu, Jinho Chon
KDD
2009
ACM
611views Data Mining» more  KDD 2009»
15 years 10 months ago
Fast approximate spectral clustering
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
Donghui Yan, Ling Huang, Michael I. Jordan
CSB
2005
IEEE
136views Bioinformatics» more  CSB 2005»
15 years 3 months ago
Whole Genome Phylogeny Based on Clustered Signature String Composition
Peptide compositions constructed out of whole sets of protein sequences can be used as species signatures for phylogenetic analysis. To account for point mutations, an amino acid ...
Xiaomeng Wu, Guohui Lin, Xiu-Feng Wan, Dong Xu
JMLR
2006
90views more  JMLR 2006»
14 years 9 months ago
Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition
We present worst case bounds for the learning rate of a known prediction method that is based on hierarchical applications of binary context tree weighting (CTW) predictors. A heu...
Ron Begleiter, Ran El-Yaniv