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» Massive Data Pre-Processing with a Cluster Based Approach
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ICONIP
2004
15 years 5 months ago
Semi-supervised Kernel-Based Fuzzy C-Means
This paper presents a semi-supervised kernel-based fuzzy c-means algorithm called S2KFCM by introducing semi-supervised learning technique and the kernel method simultaneously into...
Daoqiang Zhang, Keren Tan, Songcan Chen
BMCBI
2006
165views more  BMCBI 2006»
15 years 4 months ago
Validation and functional annotation of expression-based clusters based on gene ontology
Background: The biological interpretation of large-scale gene expression data is one of the paramount challenges in current bioinformatics. In particular, placing the results in t...
Ralf Steuer, Peter Humburg, Joachim Selbig
VRST
2009
ACM
15 years 10 months ago
Indexing and retrieval of human motion data by a hierarchical tree
For the convenient reuse of large-scale 3D motion capture data, browsing and searching methods for the data should be explored. In this paper, an efficient indexing and retrieval...
Shuangyuan Wu, Zhaoqi Wang, Shihong Xia
ECML
2006
Springer
15 years 7 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...
BMCBI
2008
166views more  BMCBI 2008»
15 years 4 months ago
Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies
Background: The analysis of large-scale data sets via clustering techniques is utilized in a number of applications. Biclustering in particular has emerged as an important problem...
Peter A. DiMaggio Jr., Scott R. McAllister, Christ...