371 search results - page 15 / 75 » Learning to match and cluster large high-dimensional data se... |
NIPS
1997
13 years 9 months ago
1997
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
ESANN
2000
13 years 9 months ago
2000
Many large -scale spatial data analysis problems involve an investigation of relationships in heterogeneous databases. In such situations, instead of making predictions uniformly a...
HAIS
2009
Springer
14 years 8 days ago
2009
Springer
Abstract. Protein membership prediction is a fundamental task to retrieve information for unknown or unidentified sequences. When support vector machines (SVMs) are associated with...
BMCBI
2010
13 years 7 months ago
2010
Background: With the rapid development of new genetic measurement methods, several types of genetic alterations can be quantified in a high-throughput manner. While the initial fo...
MLDM
2005
Springer
14 years 1 months ago
2005
Springer
In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clus...