Analysis of Unsupervised Dimensionality Reduction Techniques
Ch. Aswani Kumar (2009)
Computer Science and Information Systems
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Ch. Aswani Kumar (2009)
Computer Science and Information Systems
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Krzysztof Simek (2003)
International Journal of Applied Mathematics and Computer Science
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Recently, data on multiple gene expression at sequential time points were analyzed using the Singular Value Decomposition (SVD) as a means to capture dominant trends, called characteristic modes, followed by the fitting of a linear discrete-time dynamical system in which the expression values at a given time point are linear combinations of the values at a previous time point. We attempt to address several aspects of the method. To obtain the model, we formulate a nonlinear optimization...
Cheng, Miao, Fang, Bin, Tang, Yuan Yan, Wen, Jing (2008)
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Kybernetika
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Reconstruction of underlying physiological structures from a sequence of images is a long-standing problem which has been solved by factor analysis with a success. This paper tries to return to roots of the problem, to exploit the available findings and to propose an improved paradigm.
Antonio Ciampi, Ana González Marcos, Manuel Castejón Limas (2005)
SORT
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Correspondence analysis followed by clustering of both rows and columns of a data matrix is proposed as an approach to two-way clustering. The novelty of this contribution consists of: i) proposing a simple method for the selecting of the number of axes; ii) visualizing the data matrix as is done in micro-array analysis; iii) enhancing this representation by emphasizing those variables and those individuals which are 'well represented' in the subspace of the chosen axes. The approach...
Lehn, Michael, Stippler, Alexander, Urban, Karsten
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Chen, Wen-Sheng, Pan, Binbin, Fang, Bin, Li, Ming, Tang, Jianliang (2008)
Mathematical Problems in Engineering
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