50 search results - page 8 / 10 » Using the fractal dimension to cluster datasets |
MICAI
2005
Springer
14 years 4 months ago
2005
Springer
Abstract. Kernel based methods (such as k-nearest neighbors classifiers) for AI tasks translate the classification problem into a proximity search problem, in a space that is usu...
DPD
2002
13 years 10 months ago
2002
Data mining is a new, important and fast growing database application. Outlier (exception) detection is one kind of data mining, which can be applied in a variety of areas like mon...
AUSAI
2007
Springer
14 years 5 months ago
2007
Springer
Dimensional reduction may be effective in order to compress data without loss of essential information. Also, it may be useful in order to smooth data and reduce random noise. The...
BMCBI
2010
13 years 11 months ago
2010
Background: The clustered heat map is the most popular means of visualizing genomic data. It compactly displays a large amount of data in an intuitive format that facilitates the ...
CVPR
2008
IEEE
15 years 26 days ago
2008
IEEE
We introduce a new image representation that encompasses both the general layout of groups of quantized local invariant descriptors as well as their relative frequency. A graph of...