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» Linear Manifold Clustering
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109
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ESANN
2008
15 years 2 months ago
Parallelizing single patch pass clustering
Clustering algorithms such as k-means, the self-organizing map (SOM), or Neural Gas (NG) constitute popular tools for automated information analysis. Since data sets are becoming l...
Nikolai Alex, Barbara Hammer
119
Voted
WSCG
2003
179views more  WSCG 2003»
15 years 2 months ago
Antipole Clustering for Fast Texture Synthesis
This paper describes a new method for analysis/synthesis of textures using a non-parametric multi-resolution approach able to reproduce efficiently the generative stochastic proce...
Sebastiano Battiato, Alfredo Pulvirenti, Diego Ref...
93
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Artificial bandwidth extension of spectral envelope with temporal clustering
We present a new wideband spectral envelope estimation framework for the artificial bandwidth extension problem. The proposed framework builds temporal clusters of the joint sub-...
Can Yagli, Engin Erzin
92
Voted
SDM
2009
SIAM
193views Data Mining» more  SDM 2009»
15 years 10 months ago
Agglomerative Mean-Shift Clustering via Query Set Compression.
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
Xiaotong Yuan, Bao-Gang Hu, Ran He
137
Voted
BPM
2009
Springer
161views Business» more  BPM 2009»
15 years 7 months ago
Trace Clustering Based on Conserved Patterns: Towards Achieving Better Process Models
Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...