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PR
2007
293views more  PR 2007»
15 years 6 months ago
Mean shift-based clustering
In this paper, a mean shift-based clustering algorithm is proposed. The mean shift is a kernel-type weighted mean procedure. Herein, we first discuss three classes of Gaussian, C...
Kuo-Lung Wu, Miin-Shen Yang
IPMI
2009
Springer
16 years 1 months ago
Clustering of the Human Skeletal Muscle Fibers Using Linear Programming and Angular Hilbertian Metrics
In this paper, we present a manifold clustering method for the classification of fibers obtained from diffusion tensor images (DTI) of the human skeletal muscle. Using a linear ...
Radhouène Neji, Ahmed Besbes, Nikos Komodak...
IPPS
2007
IEEE
16 years 1 months ago
Single IP Address Cluster for Internet Servers
Operating a cluster on a single IP address is required when the cluster is used to provide certain Internet services. This paper proposes SAPS, a new method to assign a single IP ...
Hiroya Matsuba, Yutaka Ishikawa
ICDM
2003
IEEE
210views Data Mining» more  ICDM 2003»
16 years 59 min ago
CBC: Clustering Based Text Classification Requiring Minimal Labeled Data
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
Hua-Jun Zeng, Xuanhui Wang, Zheng Chen, Hongjun Lu...
EMMCVPR
2001
Springer
15 years 11 months ago
Path Based Pairwise Data Clustering with Application to Texture Segmentation
Most cost function based clustering or partitioning methods measure the compactness of groups of data. In contrast to this picture of a point source in feature space, some data sou...
Bernd Fischer, Thomas Zöller, Joachim M. Buhm...