IEEE - Institute of Electrical and Electronics Engineers, Inc. - A dynamic subspace learning method for tumor classification using microarray gene expression data

2011 Seventh International Conference on Natural Computation (ICNC)

Author(s): Yaru Su ; Rujing Wang ; Chuanxi Li ; Peng Chen
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 July 2011
Conference Location: Shanghai, China, China
Conference Date: 26 July 2011
Volume: 1
Page(s): 396 - 400
ISBN (CD): 978-1-4244-9952-6
ISBN (Electronic): 978-1-4244-9953-3
ISBN (Paper): 978-1-4244-9950-2
ISSN (CD): 2157-9555
ISSN (Electronic): 2157-9563
ISSN (Paper): 2157-9555
DOI: 10.1109/ICNC.2011.6022091
Regular:

Among most of the subspace learning methods, Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) are classic ones. PCA tries to maximize the total scatter across all classes.... View More

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