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» CURE: An Efficient Clustering Algorithm for Large Databases
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118
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NIPS
2004
15 years 5 months ago
Hierarchical Clustering of a Mixture Model
In this paper we propose an efficient algorithm for reducing a large mixture of Gaussians into a smaller mixture while still preserving the component structure of the original mod...
Jacob Goldberger, Sam T. Roweis
ICDS
2009
IEEE
15 years 10 months ago
A Hybrid Approach for Clustering-Based Data Aggregation in Wireless Sensor Networks
—In a wireless sensor network application for tracking multiple mobile targets, large amounts of sensing data can be generated by a number of sensors. These data must be controll...
Woo Sung Jung, Keun Woo Lim, Young-Bae Ko, Sang-Jo...
ICPR
2006
IEEE
16 years 5 months ago
A Prototypes-Embedded Genetic K-means Algorithm
This paper presents a genetic algorithm (GA) for Kmeans clustering. Instead of the widely applied stringof-group-numbers encoding, we encode the prototypes of the clusters into th...
Hsin-Chia Fu, Hsin-Min Wang, Shih-Sian Cheng, Yi-H...
131
Voted
ICDM
2006
IEEE
108views Data Mining» more  ICDM 2006»
15 years 10 months ago
Spatial Multidimensional Sequence Clustering
Measurements at different time points and positions in large temporal or spatial databases requires effective and efficient data mining techniques. For several parallel measureme...
Ira Assent, Ralph Krieger, Boris Glavic, Thomas Se...
ISM
2006
IEEE
207views Multimedia» more  ISM 2006»
15 years 3 months ago
Affinity Hybrid Tree: An Indexing Technique for Content-Based Image Retrieval in Multimedia Databases
A novel indexing and access method, called Affinity Hybrid Tree (AH-Tree), is proposed to organize large image data sets efficiently and to support popular image access mechanisms...
Kasturi Chatterjee, Shu-Ching Chen