2600 search results - page 4 / 520 » Clustering with or without the Approximation |
ECIR
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. We applied different clustering algorithms to the task of clustering multi-word terms in order to reflect a humanly built ontology. Clustering was done without the usual ...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
Clustering time-series data poses problems, which do not exist in traditional clustering in Euclidean space. Specifically, cluster prototype needs to be calculated, where common s...
ICDAR
2007
IEEE
14 years 1 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...
SIGMOD
2011
ACM
12 years 9 months ago
2011
ACM
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...
IPM
2006
13 years 6 months ago
2006
We consider a challenging clustering task: the clustering of muti-word terms without document co-occurrence information in order to form coherent groups of topics. For this task, ...