1420 search results - page 68 / 284 » Cluster Ensemble Selection |
103
Voted
KDD
2004
ACM
16 years 1 months ago
2004
ACM
One major problem of existing methods to mine data streams is that it makes ad hoc choices to combine most recent data with some amount of old data to search the new hypothesis. T...
122
Voted
IJCNN
2007
IEEE
15 years 7 months ago
2007
IEEE
Abstract - We discuss an ensemble-of-classifiers based algorithm for the missing feature problem. The proposed approach is inspired in part by the random subspace method, and in pa...
134
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BMCBI
2010
15 years 22 days ago
2010
Background: Advances in sequencing and genotyping technologies are leading to the widespread availability of multi-species variation data, dense genotype data and large-scale rese...
101
click to vote
KDD
2003
ACM
16 years 1 months ago
2003
ACM
Using visualization techniques to explore and understand high-dimensional data is an efficient way to combine human intelligence with the immense brute force computation power ava...
92
Voted
COLT
2008
Springer
15 years 2 months ago
2008
Springer
In this paper, we investigate stability-based methods for cluster model selection, in particular to select the number K of clusters. The scenario under consideration is that clust...