Among various statistical and data mining discriminant analysis proposed so far for group classification, linear programming discriminant analysis has recently attracted the researchers’ interest. This study evaluates multi-group discriminant linear programming (MDLP) for classification problems against well-known methods such as neural networks and support vector machine. MDLP is less compli...

Discriminant analysis is a classification method that can predict the group membership of a newly sampled observation. In discriminant analysis, classification of new observed data has an uncertainty. In this paper, the confidence degree is introduced to determine the confidence of classification of new observed data. Then, a Monte Carlo-based sensitivity analysis is applied to an assessment of...

abstract this paper presents a quantitative account of vegetation–environmental factor relationships in arid rangelands. vegetation cover was recorded using braun-blanquet combined abundance-cover scale in each quadrat. within each quadrat, one profile was dug and soil samples being taken at 0-20cm and 20-100cm depths. under study physical-chemical characteristics included texture, lime, organi...

using satellite imagery for the study of earth's resources is attended by manyresearchers. in fact, the various phenomena have different spectral response inelectromagnetic radiation. one major application of satellite data is the classification ofland cover. in recent years, a number of classification algorithms have been developed forclassification of remote sensing data. one of the most nota...

difference aspects of multinomial statistical modelings and its classifications has been studied so far. in these type of problems y is the qualitative random variable with t possible states which are considered as classifications. the goal is prediction of y based on a random vector x ? ir^m. many methods for analyzing these problems were considered. one of the modern and general method of cla...

objective: in this research, a new approach termed as “evolutionary-based brain map” is presented as a diagnostic tool to classify schizophrenic and control subjects by distinguishing their electroencephalogram (eeg) features. methods: particle swarm optimization (pso) is employed to find discriminative frequency bands from different eeg channels. by deploying the energy of those selected frequ...

in order to distinguish between benign and malignant types of pigmented skin lesions, computerized procedures have been developed for images taken by different equipment that the most available one of them is conventional digital cameras. in this research, a new procedure to detect malignant melanoma from benign pigmented lesions using macroscopic images is presented. the images are taken by co...

hospital wastes are one of most important environmental problems because of their hazardous, toxic and pathogenic characteristics. the aims of this study were to identify and measure the amount of hospital wastes and classify of them according to who criteria in amirolmomenin(as) hospital and shahid rajaei policlinic in ahwaz, sw of iran. this research was a field-descriptive study. initially, ...

asthma, which is mainly distinguished by airway inflammation and bronchial hyper responsiveness, is known as one of the most common chronic diseases worldwide. it also is the most frequent chronic respiratory disorder amongst all age groups. on one side of the asthma story, there are massive investment of time, effort and money, a large number of pharmaceutical and academic research studies, he...

An excavation damage zone (EDZ) can be defined as a rock zone where the rock properties and conditions have been changed due to the processes related to an excavation. This zone affects the behavior of rock mass surrounding the construction that reduces the stability and safety factor and increase probability of failure of the structure. This paper presents an approach to build a model for the ...