79 search results - page 1 / 16 » Cluster Characterization through a Representativity Measure |
FQAS
2004
Springer
14 years 4 months ago
2004
Springer
Clustering is an unsupervised learning task which provides a decomposition of a dataset into subgroups that summarize the initial base and give information about its structure. We ...
ICDAR
2007
IEEE
14 years 5 months ago
2007
IEEE
We model on-line ink traces for a set of 219 symbols to “best fit” low-degree polynomial series. Using a collection of mathematical writing samples, we find that in many cas...
ITA
2006
13 years 11 months ago
2006
The problem of assessing the reliability of clusters patients identified by clustering algorithms is crucial to estimate the significance of subclasses of diseases detectable at b...
INFOCOM
2008
IEEE
14 years 5 months ago
2008
IEEE
The AS-level Internet topology has shown significant clustering features. In this paper, we propose a new set of clustering metrics and conduct extensive measurement on the AS-le...
MSWIM
2006
ACM
14 years 5 months ago
2006
ACM
A neural network based clustering method for the analysis of soft handovers in 3G network is introduced. The method is highly visual and it could be utilized in explorative analys...