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» From Comparing Clusterings to Combining Clusterings
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AUSDM
2008
Springer
230views Data Mining» more  AUSDM 2008»
13 years 11 months ago
Combining Structure and Content Similarities for XML Document Clustering
This paper proposes a clustering approach that explores both the content and the structure of XML documents for determining similarity among them. Assuming that the content and th...
Tien Tran, Richi Nayak, Peter Bruza
SAC
2009
ACM
14 years 3 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
GFKL
2007
Springer
123views Data Mining» more  GFKL 2007»
14 years 3 months ago
Projecting Dialect Distances to Geography: Bootstrap Clustering vs. Noisy Clustering
Abstract. Dialectometry produces aggregate distance matrices in which a distance is specified for each pair of sites. By projecting groups obtained by clustering onto geography on...
John Nerbonne, Peter Kleiweg, Wilbert Heeringa, Fr...
SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
14 years 9 months ago
Computing Clusters of Correlation Connected Objects
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
Christian Böhm, Karin Kailing, Peer Krög...
MICCAI
2004
Springer
14 years 10 months ago
Clustering Fiber Traces Using Normalized Cuts
In this paper we present a framework for unsupervised segmentation of white matter fiber traces obtained from diffusion weighted MRI data. Fiber traces are compared pairwise to cre...
Anders Brun, Hans Knutsson, Hae-Jeong Park, Martha...