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» A clustering method that uses lossy aggregation of data
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IJON
2006
85views more  IJON 2006»
15 years 6 months ago
From outliers to prototypes: Ordering data
We propose simple and fast methods based on nearest neighbors that order objects from high-dimensional data sets from typical points to untypical points. On the one hand, we show ...
Stefan Harmeling, Guido Dornhege, David M. J. Tax,...
PAA
2006
15 years 6 months ago
Efficient median based clustering and classification techniques for protein sequences
Abstract In this paper, an efficient K-medians clustering (unsupervised) algorithm for prototype selection and Supervised K-medians (SKM) classification technique for protein seque...
P. A. Vijaya, M. Narasimha Murty, D. K. Subramania...
DICTA
2003
15 years 8 months ago
Robust Estimation in Gaussian Mixtures Using Multiresolution Kd-trees
For many applied problems in the context of clustering via mixture models, the estimates of the component means and covariance matrices can be affected by observations that are at...
Shu-Kay Ng, Geoffrey J. McLachlan
COBUILD
1998
Springer
15 years 10 months ago
An Agent-Based Telecooperation Framework
Abstract. As the amount of information and communication increases dramatically new working environments must provide efficient mechanisms to maximize the benefits of these develop...
Albrecht Schmidt, Alexander Specker, Gerhard Parts...
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
15 years 8 months ago
Cluster Ensemble Selection
This paper studies the ensemble selection problem for unsupervised learning. Given a large library of different clustering solutions, our goal is to select a subset of solutions t...
Xiaoli Z. Fern, Wei Lin