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» Clustering by pattern similarity in large data sets
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SDM
2009
SIAM
225views Data Mining» more  SDM 2009»
14 years 6 months ago
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
Fei Wang, Chris H. Q. Ding, Tao Li
ICPR
2008
IEEE
14 years 3 months ago
A class-selective rejection scheme based on blockwise similarity of typicality degrees
Overlapping classes and outliers can significantly decrease a classifier performance. We adress here the problem of giving a classifier the ability to reject some patterns eith...
Hoel Le Capitaine, Carl Frélicot
LREC
2008
120views Education» more  LREC 2008»
13 years 10 months ago
Division of Example Sentences Based on the Meaning of a Target Word Using Semi-Supervised Clustering
In this paper, we describe a system that divides example sentences (data set) into clusters, based on the meaning of the target word, using a semi-supervised clustering technique....
Hiroyuki Shinnou, Minoru Sasaki
PUC
2002
61views more  PUC 2002»
13 years 8 months ago
Perceived Similarities and Preferences for Consumer Electronics Products
: A Swedish sample of 36 people judged the similarities of 20 objects, primarily information appliance products and services sometimes called consumer electronics, but also some co...
B. N. Schenkman
CIVR
2009
Springer
583views Image Analysis» more  CIVR 2009»
14 years 9 months ago
Mining from Large Image Sets
So far, most image mining was based on interactive querying. Although such querying will remain important in the future, several applications need image mining at such wide scale...
Luc J. Van Gool, Michael D. Breitenstein, Stephan ...