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» Distributed Data Clustering Can Be Efficient and Exact
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AUSAI
2003
Springer
14 years 26 days ago
Efficiently Mining Frequent Patterns from Dense Datasets Using a Cluster of Computers
Efficient mining of frequent patterns from large databases has been an active area of research since it is the most expensive step in association rules mining. In this paper, we pr...
Yudho Giri Sucahyo, Raj P. Gopalan, Amit Rudra
ALGOSENSORS
2006
Springer
13 years 11 months ago
Efficient Training of Sensor Networks
Abstract. Due to their small form factor and modest energy budget, individual sensors are not expected to be GPS-enabled. Moreover, in most applications, exact geographic location ...
Alan A. Bertossi, Stephan Olariu, Maria Cristina P...
SSPR
1998
Springer
13 years 12 months ago
Distribution Free Decomposition of Multivariate Data
: We present a practical approach to nonparametric cluster analysis of large data sets. The number of clusters and the cluster centres are automatically derived by mode seeking wit...
Dorin Comaniciu, Peter Meer
CLUSTER
2006
IEEE
13 years 11 months ago
Improving Communication Performance on InfiniBand by Using Efficient Data Placement Strategies
Despite using high-speed network interconnection systems like InfiniBand, the communication overhead for parallel applications is still high. In this paper we show, how such costs...
Robert Rex, Frank Mietke, Wolfgang Rehm, Christoph...
KDD
2002
ACM
155views Data Mining» more  KDD 2002»
14 years 8 months ago
SyMP: an efficient clustering approach to identify clusters of arbitrary shapes in large data sets
We propose a new clustering algorithm, called SyMP, which is based on synchronization of pulse-coupled oscillators. SyMP represents each data point by an Integrate-and-Fire oscill...
Hichem Frigui