111 search results - page 10 / 23 » Data Clustering Using Evidence Accumulation |
EMNLP
2007
13 years 9 months ago
2007
It has been widely observed that different NLP applications require different sense granularities in order to best exploit word sense distinctions, and that for many applications ...
ISPA
2005
Springer
14 years 29 days ago
2005
Springer
Abstract. There exist numerous algorithms that cluster data-points from largescale genomic experiments such as sequencing, gene-expression and proteomics. Such algorithms may emplo...
ICDM
2007
IEEE
14 years 1 months ago
2007
IEEE
K-means is a widely used partitional clustering method. A large amount of effort has been made on finding better proximity (distance) functions for K-means. However, the common c...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract— In previous work, we have shown that both unsupervised feature selection and the semi-supervised clustering problem can be usefully formulated as multiobjective optimiz...
BMCBI
2006
13 years 7 months ago
2006
Background: We present an approach designed to identify gene regulation patterns using sequence and expression data collected for Saccharomyces cerevisae. Our main goal is to rela...