the field study was conducted in one district of educational-experimental forest at tehran university (kheirood-kenar forest) in the north of iran. eighty-five soil profiles were dug in the site of study and several chemical and physical soil properties were considered. these factors included: soil ph, soil texture, bulk density, organic carbon, total nitrogen, extractable phosphorus and depth ...

abstract soil quality evaluation is an essential issue in soil management for agriculture and natural resource protection. soil quality indices are useful tools for determination and comparison of soils quality. using of principle component analysis in this study we selected 6 important properties as a soil quality minimum data set (mds) among 18 soil properties (tds). then, soil quality of agr...

A hybrid technique based on feature extraction and Principal Component Analysis (PCA) is presented for lung detection in CT scan images. Lung cancer, if detected successfully at early stages, enables many treatment options, reduced risk of invasive surgery and increased survival rate. .In this paper features are extracted using principal component analysis and Histogram Equalization is used for...

This paper experimentally investigates Independent Component Analysis (ICA) and Principle Component Analysis (PCA) on reducing the input dimension of a Radial Basis Function (RBF) network such that the net’s complexity is reduced. The results have shown that a RBF network with ICA as an input pre-process has the similar generalization ability to the one without pre-processing, but the former’s ...

drug resistance enables cancer cells to break away from cytotoxic effect of anticancer drugs. identification of resistant phenotype is very important because it can lead to effective treatment plan. there is an interest in developing classifying models of resistance phenotype based on the multivariate data. we have investigated a vibrational spectroscopic approach in order to characterize a sen...

spatial patterns are useful descriptors of the horizontal structure in a plant population and may change over time as the individual components of the population grow or die out. but, whether this is the case for desert woody annuals is largely unknown. in the present investigation, the variations in spatial patterns of tribulus terrestris during different pulse events in semi-arid area of the ...

In this article classification method is proposed where data is first preprocessed using fuzzy robust principle component analysis (FRPCA) algorithms to get data into more feasible form. After this we use similarity classifier for the classification. We tested this procedure for breast cancer data and liver-disorder data. Results were quite promising and better classification accuracy was achie...

In [2] feature graphs based on a wavelet transform, principle component analysis (PCA), and linear discriminant analysis (LDA) are compared. They reported 88%, 85% and 56% accuracy for PCA, LDA, and Gabor Wavelets respectively with a database containing 20 and individuals varying in gender, age, pose, and race. For each individual five images were used for testing, while one images was employed...