Microarray Data Classification Based on Principal Curves
Huaijiang Sun · 2010
In this paper,a novel classifier was proposed to classify microarray data using principal curves.Principal curves are the non-linear generalization of principal components.Intuitively,a principal curve 'passes through the middle of the data cloud'.As a kind of new classification technique,Principal Curve-based classifier(PC) involves a novel way of computing a principal curve for each class using the training data.A test sample is the class-label of the principal curve that is closest to it according to Expected Squared Error.Experimental results illustrate the performance of the PC is better than other existing approaches when a very small sample size of a microarray set is concerned.