1038 search results - page 81 / 208 » A Genetic Algorithm for Clustering on Very Large Data Sets |
ECML
2006
Springer
14 years 13 days ago
2006
Springer
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
With the growing number of acquired physiological and behavioral biometric samples, biometric data sets are experiencing tremendous growth. As database sizes increase, exhaustive ...
ISMB
1993
13 years 10 months ago
1993
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
ICDM
2003
IEEE
14 years 2 months ago
2003
IEEE
Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
KDD
2004
ACM
14 years 2 months ago
2004
ACM
Clustering time series is a problem that has applications in a wide variety of fields, and has recently attracted a large amount of research. In this paper we focus on clustering...