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ISCI
2010
175views more  ISCI 2010»
14 years 8 months ago
Clustering web people search results using fuzzy ants
Person name queries often bring up web pages that correspond to individuals sharing the same name. The Web People Search (WePS) task consists of organizing search results for ambi...
Els Lefever, Timur Fayruzov, Véronique Host...
PR
2008
123views more  PR 2008»
14 years 9 months ago
Extensions of vector quantization for incremental clustering
In this paper, we extend the conventional vector quantization by incorporating a vigilance parameter, which steers the tradeoff between plasticity and stability during incremental...
Edwin Lughofer
EUSFLAT
2003
145views Fuzzy Logic» more  EUSFLAT 2003»
14 years 11 months ago
Proximity fuzzy clustering for web context analysis
This study extends the web classification approach through a proximity-based fuzzy clustering sensible to the influence of the page. The proximity-based fuzzy clustering works in ...
Vincenzo Loia, Witold Pedrycz, Sabrina Senatore
ICNSC
2007
IEEE
15 years 3 months ago
Adaptive Network Flow Clustering
— Flow level measurements are used to provide insights into the traffic flow crossing a network link. However, existing flow based network detection devices lack adaptive reconfi...
Sui Song, Zhixiong Chen
74
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DEXAW
2009
IEEE
173views Database» more  DEXAW 2009»
15 years 4 months ago
Automatic Cluster Number Selection Using a Split and Merge K-Means Approach
Abstract—The k-means method is a simple and fast clustering technique that exhibits the problem of specifying the optimal number of clusters preliminarily. We address the problem...
Markus Muhr, Michael Granitzer