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ICPR
2008
IEEE
14 years 8 months ago
K-means clustering of proportional data using L1 distance
We present a new L1-distance-based k-means clustering algorithm to address the challenge of clustering high-dimensional proportional vectors. The new algorithm explicitly incorpor...
Bonnie K. Ray, Hisashi Kashima, Jianying Hu, Monin...
BIBM
2008
IEEE
108views Bioinformatics» more  BIBM 2008»
14 years 2 months ago
Systematic Evaluation of Scaling Methods for Gene Expression Data
Even after an experimentally prepared gene expression data set has been pre-processed to account for variations in the microarray technology, there may be inconsistencies between ...
Gaurav Pandey, Lakshmi Naarayanan Ramakrishnan, Mi...
ICARCV
2002
IEEE
153views Robotics» more  ICARCV 2002»
14 years 18 days ago
Fast, unconstrained camera motion estimation from stereo without tracking and robust statistics
Camera motion estimation is useful for a range of applications. Usually, feature tracking is performed through the sequence of images to determine correspondences. Furthermore, ro...
Heiko Hirschmüller, Peter R. Innocent, Jonath...
EGITALY
2006
13 years 9 months ago
3D Data Segmentation Using a Non-Parametric Density Estimation Approach
In this paper, a new segmentation approach for sets of 3D unorganized points is proposed. The method is based on a clustering procedure that separates the modes of a non-parametri...
Umberto Castellani, Marco Cristani, Vittorio Murin...
CSDA
2004
119views more  CSDA 2004»
13 years 7 months ago
Fitting bivariate cumulative returns with copulas
We propose a copula based statistical method of fitting joint cumulative returns between a market index and a stock from the index family to daily data. Modifying the method of in...
Werner Hürlimann