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SIGIR
2010
ACM
15 years 2 months ago
Analysis of structural relationships for hierarchical cluster labeling
Cluster label quality is crucial for browsing topic hierarchies obtained via document clustering. Intuitively, the hierarchical structure should influence the labeling accuracy. H...
Markus Muhr, Roman Kern, Michael Granitzer
ICASSP
2010
IEEE
15 years 2 months ago
A nonnegative sparsity induced similarity measure with application to cluster analysis of spam images
Image spam is an email spam that embeds text content into graphical images to bypass traditional spam filters. The majority of previous approaches focus on filtering image spam ...
Yan Gao, Alok N. Choudhary, Gang Hua
IJIT
2004
15 years 3 months ago
IMDC: An Image-Mapped Data Clustering Technique for Large Datasets
In this paper, we present a new algorithm for clustering data in large datasets using image processing approaches. First the dataset is mapped into a binary image plane. The synthe...
Faruq A. Al-Omari, Nabeel I. Al-Fayoumi
SSPR
1998
Springer
15 years 6 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
131
Voted
ICASSP
2010
IEEE
15 years 2 months ago
Learning from high-dimensional noisy data via projections onto multi-dimensional ellipsoids
In this paper, we examine the problem of learning from noisecontaminated data in high-dimensional space. A new learning approach based on projections onto multi-dimensional ellips...
Liuling Gong, Dan Schonfeld