256 search results - page 38 / 52 » A practical comparison of two K-Means clustering algorithms |
KDD
2004
ACM
15 years 10 months ago
2004
ACM
Most data mining algorithms require the setting of many input parameters. Two main dangers of working with parameter-laden algorithms are the following. First, incorrect settings ...
CORR
2010
Springer
14 years 6 months ago
2010
Springer
Ensuring sufficient liquidity is one of the key challenges for designers of prediction markets. Various market making algorithms have been proposed in the literature and deployed ...
BMCBI
2008
14 years 9 months ago
2008
Background: Microarray techniques are one of the main methods used to investigate thousands of gene expression profiles for enlightening complex biological processes responsible f...
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Voted
ICPR
2000
IEEE
15 years 10 months ago
2000
IEEE
The appearance of non-rigid objects detected and tracked in video streams is highly variable and therefore makes the identification of similar objects very complex. Furthermore, i...
DPD
2002
14 years 9 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...