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ICANN
2009
Springer
14 years 1 months ago
A Two Stage Clustering Method Combining Self-Organizing Maps and Ant K-Means
This paper proposes a clustering method SOMAK, which is composed by Self-Organizing Maps (SOM) followed by the Ant K-means (AK) algorithm. The aim of this method is not to find an...
Jefferson R. Souza, Teresa Bernarda Ludermir, Lean...
NIPS
2004
13 years 10 months ago
Self-Tuning Spectral Clustering
We study a number of open issues in spectral clustering: (i) Selecting the appropriate scale of analysis, (ii) Handling multi-scale data, (iii) Clustering with irregular backgroun...
Lihi Zelnik-Manor, Pietro Perona
SDM
2009
SIAM
164views Data Mining» more  SDM 2009»
14 years 6 months ago
Exact Discovery of Time Series Motifs.
Time series motifs are pairs of individual time series, or subsequences of a longer time series, which are very similar to each other. As with their discrete analogues in computat...
Abdullah Mueen, Eamonn J. Keogh, M. Brandon Westov...
ICML
2004
IEEE
14 years 10 months ago
Nonparametric classification with polynomial MPMC cascades
A new class of nonparametric algorithms for high-dimensional binary classification is proposed using cascades of low dimensional polynomial structures. Construction of polynomial ...
Sander M. Bohte, Markus Breitenbach, Gregory Z. Gr...
VMCAI
2007
Springer
14 years 3 months ago
DIVINE: DIscovering Variables IN Executables
Abstract. This paper addresses the problem of recovering variable-like entities when analyzing executables in the absence of debugging information. We show that variable-like entit...
Gogul Balakrishnan, Thomas W. Reps