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» Stability of k -Means Clustering
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IJCNN
2006
IEEE
15 years 3 months ago
Bacteria Foraging: A New Tool for Simultaneous Robust Design of UPFC Controllers
—Robust tuning of lead-lag type controller used for regulating FACTS control signal to improve dynamic stability has been an area of interest in research. This paper presents a n...
M. Tripathy, Sukumar Mishra, Ganesh K. Venayagamoo...
FOCM
2010
160views more  FOCM 2010»
14 years 8 months ago
Boundary Measures for Geometric Inference
We study the boundary measures of compact subsets of the d-dimensional Euclidean space, which are closely related to Federer’s curvature measures. We show that they can be comput...
Frédéric Chazal, David Cohen-Steiner...
FOCM
2011
107views more  FOCM 2011»
14 years 1 months ago
Quantifying Transversality by Measuring the Robustness of Intersections
By definition, transverse intersections are stable under infinitesimal perturbations. Using persistent homology, we extend this notion to a measure. Given a space of perturbatio...
Herbert Edelsbrunner, Dmitriy Morozov, Amit K. Pat...
EOR
2010
99views more  EOR 2010»
14 years 9 months ago
Min sum clustering with penalties
Traditionally, clustering problems are investigated under the assumption that all objects must be clustered. A shortcoming of this formulation is that a few distant objects, calle...
Refael Hassin, Einat Or
PAMI
2006
134views more  PAMI 2006»
14 years 9 months ago
A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
Michael Laszlo, Sumitra Mukherjee