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Zastosowanie metody cząsteczkowych najmniejszych kwadratów (PLS) do klasyfikacji danych mikromacierzowych

Błaszczyk P., Stąpor K.

Studia Informatica

2007

Vol. 28, nr 2

31-45

W artykule przedstawiono wprowadzenie metody cząsteczkowych najmniejszych kwadratów (PLS) i jej zastosowanie w klasyfikacji danych mikromacierzowych. W tym celu porówanano ze sobą dwie metody klasyfikacji - liniową dyskryminację Fishera (FLD) oraz metodę cząsteczkowych najmniejszych kwadratów (PLS). Jako dane mikromacierzowe wykorzystano symulowane zbiory danych oraz dane biologiczne.

In this paper we present methematical introduction of Partial Least Squares metod (PSL) and application for classification microarray data. To do this application two classification methods was compared - Fisher linear discriminant (FLD) and partial Least Squares (PLS) applied to classification of microarray data are compared. The simulation and biological datasets are used as a microarray gene expresion data.

Feature space reduction and classification in automatic voice quality estimation

Samborska A.

Image Processing & Communications

2005

Vol. 10, no 2

93-102

The paper presents an approach to solve a problem of feature space reduction applied to a voice quality estimation system. In order to reduce symptom space dimensionality, a method based on of decision tree and Fisher Linear Discriminant has been introduced. On the basis of 3 discrimination tests, the patient's voice is being classified into one of 3 groups - healthy, ill or risk, obtaining 90% of correct results. The experiment involved voice recordings of 70 patients who were diagnosed by the specialist. The method has been applied to a system of automatic voice quality estimation - the SpeechAnalyser, which was designed to be a supportive tool in laryngologica. l screening tests and treatment progress monitoring. There have been also briefly introduced the algorithms of feature extraction from a voice sample and also diagnostic significance of the symptoms has been discussed. Author proposed a new approach to cepstral analysis that allows objective measuring of harmonic and subharmonic content is spectrum.