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128
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JMLR
2006
96views more  JMLR 2006»
15 years 3 months ago
Rearrangement Clustering: Pitfalls, Remedies, and Applications
Given a matrix of values in which the rows correspond to objects and the columns correspond to features of the objects, rearrangement clustering is the problem of rearranging the ...
Sharlee Climer, Weixiong Zhang
164
Voted
WWW
2008
ACM
15 years 3 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
131
Voted
CORR
2002
Springer
118views Education» more  CORR 2002»
15 years 3 months ago
Unsupervised discovery of morphologically related words based on orthographic and semantic similarity
We present an algorithm that takes an unannotated corpus as its input, and returns a ranked list of probable morphologically related pairs as its output. The algorithm tries to di...
Marco Baroni, Johannes Matiasek, Harald Trost
131
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DKE
2007
101views more  DKE 2007»
15 years 3 months ago
Parameterized pattern queries
We introduce parameterized pattern queries as a new paradigm to extend traditional pattern expressions over sequence databases. A parameterized pattern is essentially a string mad...
Cédric du Mouza, Philippe Rigaux, Michel Sc...
119
Voted
SODA
2010
ACM
189views Algorithms» more  SODA 2010»
16 years 1 months ago
Correlation Clustering with Noisy Input
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
Claire Mathieu, Warren Schudy