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SDM
2008
SIAM
140views Data Mining» more  SDM 2008»
15 years 3 months ago
Large-Scale Many-Class Learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Michael Connor
SDM
2008
SIAM
129views Data Mining» more  SDM 2008»
15 years 3 months ago
Statistical Density Prediction in Traffic Networks
Recently, modern tracking methods started to allow capturing the position of massive numbers of moving objects. Given this information, it is possible to analyze and predict the t...
Hans-Peter Kriegel, Matthias Renz, Matthias Schube...
SDM
2008
SIAM
140views Data Mining» more  SDM 2008»
15 years 3 months ago
Creating a Cluster Hierarchy under Constraints of a Partially Known Hierarchy
Although clustering under constraints is a current research topic, a hierarchical setting, in which a hierarchy of clusters is the goal, is usually not considered. This paper trie...
Korinna Bade, Andreas Nürnberger
SDM
2008
SIAM
136views Data Mining» more  SDM 2008»
15 years 3 months ago
Exploration and Reduction of the Feature Space by Hierarchical Clustering
In this paper we propose and test the use of hierarchical clustering for feature selection. The clustering method is Ward's with a distance measure based on GoodmanKruskal ta...
Dino Ienco, Rosa Meo
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
15 years 3 months ago
Cluster Ensemble Selection
This paper studies the ensemble selection problem for unsupervised learning. Given a large library of different clustering solutions, our goal is to select a subset of solutions t...
Xiaoli Z. Fern, Wei Lin
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