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» A Method for Dynamic Clustering of Data
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KDD
2009
ACM
243views Data Mining» more  KDD 2009»
16 years 7 months ago
Exploiting Wikipedia as external knowledge for document clustering
In traditional text clustering methods, documents are represented as "bags of words" without considering the semantic information of each document. For instance, if two ...
Xiaohua Hu, Xiaodan Zhang, Caimei Lu, E. K. Park, ...
SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
16 years 6 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...
ICRA
1998
IEEE
76views Robotics» more  ICRA 1998»
15 years 11 months ago
A Hybrid Collision Avoidance Method for Mobile Robots
This paper proposes a hybrid approach to the problem of collision avoidance for indoor mobile robots. The DWA (short for: model-based dynamic window approach) integrates sensor dat...
Dieter Fox, Wolfram Burgard, Sebastian Thrun, Armi...
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
16 years 28 days ago
A Generalization of Proximity Functions for K-Means
K-means is a widely used partitional clustering method. A large amount of effort has been made on finding better proximity (distance) functions for K-means. However, the common c...
Junjie Wu, Hui Xiong, Jian Chen, Wenjun Zhou
166
Voted
PKDD
1999
Springer
130views Data Mining» more  PKDD 1999»
15 years 11 months ago
OPTICS-OF: Identifying Local Outliers
: For many KDD applications finding the outliers, i.e. the rare events, is more interesting and useful than finding the common cases, e.g. detecting criminal activities in E-commer...
Markus M. Breunig, Hans-Peter Kriegel, Raymond T. ...