166 search results - page 29 / 34 » Outlier Detection for High Dimensional Data |
DAWAK
2007
Springer
15 years 3 months ago
2007
Springer
Representative-based clustering algorithms are quite popular due to their relative high speed and because of their sound theoretical foundation. On the other hand, the clusters the...
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VLDB
1998
ACM
15 years 1 months ago
1998
ACM
Many applications require the management of spatial data. Clustering large spatial databases is an important problem which tries to find the densely populated regions in the featu...
ICPR
2004
IEEE
15 years 10 months ago
2004
IEEE
Feature subset selection, applied as a pre-processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier perfo...
PREMI
2005
Springer
15 years 2 months ago
2005
Springer
Images constitute data that lives in a very high dimensional space, typically of the order of hundred thousand dimensions. Drawing inferences from data of such high dimensions soon...
TIP
2011
14 years 4 months ago
2011
—This paper introduces kernel versions of maximum autocorrelation factor (MAF) analysis and minimum noise fraction (MNF) analysis. The kernel versions are based upon a dual formu...