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The SOM can be used for data classification or clustering.
The major dissimilarity between LDA and PCA is that, generally, PCA is used for feature classification, whereas LDA is used for data classification.
The impedance spectra were modeled using a constant phase-element (CPE) equivalent circuit, and a principal component analysis (PCA) was used for data classification.
The criteria used for data classification are presented in Table 1.
It can be used for data classification and pattern recognition (Cortes and Vapnik, 1995).
The SVM is a supervised learning method that can be used for data classification [ 20, 21].
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For this study, LIBSVM http://www.csie.ntu.edu.tw/~cjlin/libsvm was used for data training and classification [ 39].
For this study, LIBSVM (http://www.csie.ntu.edu.tw/~cjlin/libsvm) was used for data training and classification and WildSpan was used for detecting conserved residues from homologous protein sequences.
This software can be used for data reduction using PCA, classification using Neural Networks or Decision Trees [ 41, 42], class prediction, data exploration, affinity analysis, and clustering.
The diagnostic eight-pack array consists of eight mini arrays with 1900 features each, and these features comprise 255 positive controls, 100 negative controls and 1545 biological sequences used for data normalisation and sample classification.
Artificial neural network algorithms are widely used for data mining tasks such as classification and pattern recognition.
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