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SCIA
2005
Springer
166views Image Analysis» more  SCIA 2005»
16 years 11 days ago
Clustering Based on Principal Curve
Clustering algorithms are intensively used in the image analysis field in compression, segmentation, recognition and other tasks. In this work we present a new approach in clusteri...
Ioan Cleju, Pasi Fränti, Xiaolin Wu
EDBT
2004
ACM
147views Database» more  EDBT 2004»
16 years 8 days ago
Clustering Multidimensional Extended Objects to Speed Up Execution of Spatial Queries
Abstract. We present a cost-based adaptive clustering method to improve average performance of spatial queries (intersection, containment, enclosure queries) over large collections...
Cristian-Augustin Saita, François Llirbat
INFOCOM
2003
IEEE
16 years 5 days ago
An Energy Efficient Hierarchical Clustering Algorithm for Wireless Sensor Networks
— A wireless network consisting of a large number of small sensors with low-power transceivers can be an effective tool for gathering data in a variety of environments. The data ...
Seema Bandyopadhyay, Edward J. Coyle
ASPDAC
1999
ACM
122views Hardware» more  ASPDAC 1999»
15 years 11 months ago
A Clustering Based Linear Ordering Algorithm for K-Way Spectral Partitioning
The spectral method can lead to a high quality of multi-way partition due to its ability to capture global netlist information. For spectral partition, n netlist modules are mappe...
Shiuann-Shiuh Lin, Wen-Hsin Chen, Wen-Wei Lin, Tin...
ECML
2006
Springer
15 years 10 months ago
Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data
A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...
Bojun Yan, Carlotta Domeniconi