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» On Weighting Clustering
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ECML
2007
Springer
15 years 8 months ago
Class Noise Mitigation Through Instance Weighting
We describe a novel framework for class noise mitigation that assigns a vector of class membership probabilities to each training instance, and uses the confidence on the current ...
Umaa Rebbapragada, Carla E. Brodley
ERCIMDL
2010
Springer
142views Education» more  ERCIMDL 2010»
15 years 3 months ago
Effective Term Weighting for Sentence Retrieval
A well-known challenge of information retrieval is how to infer a user's underlying information need when the input query consists of only a few keywords. Question Answering (...
Saeedeh Momtazi, Matthew Lease, Dietrich Klakow
MST
2010
107views more  MST 2010»
15 years 10 days ago
Fixed-Parameter Algorithms for Cluster Vertex Deletion
We initiate the first systematic study of the NP-hard Cluster Vertex Deletion (CVD) problem (unweighted and weighted) in terms of fixed-parameter algorithmics. In the unweighted...
Falk Hüffner, Christian Komusiewicz, Hannes M...
SIGMOD
2004
ACM
150views Database» more  SIGMOD 2004»
15 years 7 months ago
Clustering Objects on a Spatial Network
Clustering is one of the most important analysis tasks in spatial databases. We study the problem of clustering objects, which lie on edges of a large weighted spatial network. Th...
Man Lung Yiu, Nikos Mamoulis
WWW
2008
ACM
15 years 1 months ago
A Novelty-based Clustering Method for On-line Documents
In this paper, we describe a document clustering method called noveltybased document clustering. This method clusters documents based on similarity and novelty. The method assigns...
Sophoin Khy, Yoshiharu Ishikawa, Hiroyuki Kitagawa