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» A Novel Hybrid Neural Network for Data Clustering
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ACCV
2009
Springer
15 years 6 months ago
Evolving Mean Shift with Adaptive Bandwidth: A Fast and Noise Robust Approach
Abstract. This paper presents a novel nonparametric clustering algorithm called evolving mean shift (EMS) algorithm. The algorithm iteratively shrinks a dataset and generates well ...
Qi Zhao, Zhi Yang, Hai Tao, Wentai Liu
CIBCB
2006
IEEE
15 years 6 months ago
A Novel Graphical Model Approach to Segmenting Cell Images
— Successful biological image analysis usually requires satisfactory segmentations to identify regions of interest as an intermediate step. Here we present a novel graphical mode...
Shann-Ching Chen, Ting Zhao, Geoffrey J. Gordon, R...
BMCBI
2008
102views more  BMCBI 2008»
14 years 12 months ago
Response projected clustering for direct association with physiological and clinical response data
Background: Microarray gene expression data are often analyzed together with corresponding physiological response and clinical metadata of biological subjects, e.g. patients'...
Sung-Gon Yi, Taesung Park, Jae K. Lee
GD
2006
Springer
15 years 3 months ago
Controllable and Progressive Edge Clustering for Large Networks
Node-link diagrams are widely used in information visualization to show relationships among data. However, when the size of data becomes very large, node-link diagrams will become ...
Huamin Qu, Hong Zhou, Yingcai Wu
ICDCS
2010
IEEE
15 years 3 months ago
Sifting through Network Data to Cull Activity Patterns with HEAPs
—Today’s large campus and enterprise networks are characterized by their complexity, i.e. containing thousands of hosts, and diversity, i.e. with various applications and usage...
Esam Sharafuddin, Yu Jin, Nan Jiang, Zhi-Li Zhang