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ICPR
2000
IEEE
13 years 9 months ago
Geometrically Guided Fuzzy C-Means Clustering for Multivariate Image Segmentation
Fuzzy C-means (FCM) clustering is an unsupervised clustering technique and is often used for the unsupervised segmentation of multivariate images. The segmentation of the image in...
J. C. Noordam, W. H. A. M. Van den Broek, Lutgarde...
MINENET
2005
ACM
13 years 10 months ago
A first step toward understanding inter-domain routing dynamics
BGP updates are triggered by a variety of events such as link failures, resets, routers crashing, configuration changes, and so on. Making sense of these updates and identifying ...
Kuai Xu, Jaideep Chandrashekar, Zhi-Li Zhang
SADM
2010
141views more  SADM 2010»
12 years 12 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman
VISSYM
2004
13 years 6 months ago
A Botanically Inspired High-Dimensional Visualization with Multivariate Glyphs
It is difficult for the average viewer to assimilate and comprehend huge amounts of high-dimensional data. It is important to present data in a way that allows the user a high lev...
Eleanor Boyle Chlan, Penny Rheingans
ICASSP
2010
IEEE
13 years 5 months ago
Swift: Scalable weighted iterative sampling for flow cytometry clustering
Flow cytometry (FC) is a powerful technology for rapid multivariate analysis and functional discrimination of cells. Current FC platforms generate large, high-dimensional datasets...
Iftekhar Naim, Suprakash Datta, Gaurav Sharma, Jam...