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ICDM
2002
IEEE
158views Data Mining» more  ICDM 2002»
15 years 11 months ago
Adaptive dimension reduction for clustering high dimensional data
It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...
Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst...
HCI
2007
15 years 8 months ago
FPF-SB : A Scalable Algorithm for Microarray Gene Expression Data Clustering
Efficient and effective analysis of large datasets from microarray gene expression data is one of the keys to time-critical personalized medicine. The issue we address here is the ...
Filippo Geraci, Mauro Leoncini, Manuela Montangero...
ICASSP
2010
IEEE
15 years 7 months ago
Partial clustering using a time-varying frequency model for singing voice detection
We propose a new method to group partials produced by each instrument of a polyphonic audio mixture. This method works for pitched and harmonic instruments and is specially adapte...
Lise Regnier, Geoffroy Peeters
197
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CIDM
2011
IEEE
14 years 10 months ago
A GPU-based interactive bio-inspired visual clustering
Abstract—In this work, we present an interactive visual clustering approach for the exploration and analysis of vast volumes of data. The proposed approach is based on a bio-insp...
Ugo Erra, Bernardino Frola, Vittorio Scarano
MICCAI
2009
Springer
16 years 8 months ago
A Cluster Overlap Measure for Comparison of Activations in fMRI Studies
Abstract. Most fMRI studies use voxel-wise statistics to carry out intrasubject as well as inter-subject analysis. We show that statistics derived from voxel-wise comparisons are l...
Guillermo A. Cecchi, Rahul Garg, A. Ravishankar ...