1971 search results - page 114 / 395 » A clustering method that uses lossy aggregation of data |
ISNN
2011
Springer
13 years 11 hour ago
2011
Springer
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
ICPR
2010
IEEE
14 years 13 days ago
2010
IEEE
Pattern recognition problems often suffer from the larger intra-class variation due to situation variations such as pose, walking speed, and clothing variations in gait recognition...
ICTAI
2009
IEEE
14 years 3 months ago
2009
IEEE
Existing density-based data stream clustering algorithms use a two-phase scheme approach consisting of an online phase, in which raw data is processed to gather summary statistics...
ICDM
2003
IEEE
14 years 2 months ago
2003
IEEE
In this paper, we propose a novel technique for the efficient prediction of multiple continuous target variables from high-dimensional and heterogeneous data sets using a hierarch...
IJON
2008
13 years 9 months ago
2008
Support vector machine (SVM) is a powerful technique for data classification. Despite of its good theoretic foundations and high classification accuracy, normal SVM is not suitabl...