5603 search results - page 208 / 1121 » Feature Selection for Clustering |
195
Voted
ACG
2009
Springer
16 years 23 days ago
2009
Springer
One of the main challenges with selective search extensions is designing effective move categories (features). This is a manual trial and error task, which requires both intuition...
175
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IAJIT
2008
15 years 6 months ago
2008
: The fuzzy c-means clustering algorithm has been widely used to obtain the fuzzy k-partitions. This algorithm requires that the user gives the number of clusters k. To find automa...
177
Voted
BMCBI
2010
15 years 3 months ago
2010
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
148
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PKDD
2007
Springer
16 years 8 days ago
2007
Springer
In discretization of a continuous variable its numerical value range is divided into a few intervals that are used in classification. For example, Na¨ıve Bayes can benefit from...
155
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DASFAA
2007
IEEE
16 years 15 days ago
2007
IEEE
Abstract. Moving object environments are characterized by large numbers of objects continuously sending location updates. At times, data arrival rates may spike up, causing the loa...