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» Distributed Data Clustering Can Be Efficient and Exact
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ESANN
2006
15 years 5 months ago
Unsupervised clustering of continuous trajectories of kinematic trees with SOM-SD
We explore the capability of the Self Organizing Map for structured data (SOM-SD) to compress continuous time data recorded from a kinematic tree, which can represent a robot or an...
Jochen J. Steil, Risto Koiva, Alessandro Sperduti
JDCTA
2010
464views more  JDCTA 2010»
14 years 11 months ago
A New Agglomerative Hierarchical Clustering Algorithm Implementation based on the Map Reduce Framework
Text clustering is one of the difficult and hot research fields in the text mining research. Combing Map Reduce framework and the neuron initialization method of VPSOM (vector pre...
Hui Gao, Jun Jiang, Li She, Yan Fu
CLUSTER
2003
IEEE
15 years 9 months ago
Optimized Implementation of Extendible Hashing to Support Large File System Directory
Extendible hashing is a kind of fast indexing technology; it provides with a way of storing structural data records so that each of them can be gotten very quickly. In this paper,...
Rongfeng Tang, Dan Meng, Sining Wu
NBIS
2007
Springer
15 years 10 months ago
Implementing Range Queries with a Decentralized Balanced Tree over Distributed Hash Tables
Range queries, retrieving all keys within a given range, is an important add-on for Distributed Hash Tables (DHTs), as they rely only on exact key matching lookup. In this paper we...
Nuno Lopes, Carlos Baquero
CVPR
2008
IEEE
16 years 6 months ago
Context-aware clustering
Most existing methods of semi-supervised clustering introduce supervision from outside, e.g., manually label some data samples or introduce constrains into clustering results. Thi...
Junsong Yuan, Ying Wu