tea (camellia sinensis) is one of the most economically important crops and is considered tobe the national drink of iran. although there has been an intensive cytogenetic study of tea in differentregions of the world, there has been no report from iran. therefore, the present investigation was carriedout in order to present the basic cytogenetical features of various tea cultivators grown in t...

having knowledge about genetic relationships among accessions is necessary for developing breeding strategies to produce improved cultivars. in present study, genetic diversity and inter-relationship among 29 genotypes of citrus were comparatively analyzed using morphological and rapd markers. significant variability was observed among citrus genotypes for 61 quantitative and qualitative morpho...

Considering the concept of clustering, the main idea of the present study is based on the fact that all stocks for choosing and ranking will not be necessarily in one cluster. Taking the mentioned point into account, this study aims at offering a new methodology for making decisions concerning the formation of a portfolio of stocks in the stock market. To meet this end, Multiple-Criteria Decisi...

As pharmacogenetics researchers gather more detailed and complex data on gene polymorphisms that effect drug metabolizing enzymes, drug target receptors and drug transporters, they will need access to advanced statistical tools to mine that data. These tools include approaches from classical biostatistics, such as logistic regression or linear discriminant analysis, and supervised learning meth...

The correctness of annotation is quite important in supervised learning, especially in electroencephalography(EEG)-based emotion recognition. The conventional EEG annotations for emotion recognition are based on the feedback like questionnaires about emotion elicitation from subjects. However, these methods are subjective and divorced from experiment data, which lead to inaccurate annotations. ...

This article is a pedagogical piece on hierarchical cluster analysis, a method for investigating the structure underlying data. Such methods are useful for finding similar groups of cases in data sets when it is not known a priori how many groups are present. The article is laid out asfollows: First, a brief history and overview of the methods is presented; second, an illustrative example with ...

The aim of the research was to investigate the relationship and/or occurrences in and between chemical composition information (tar, nicotine, carbon monoxide), market information (brand, manufacturer, price), and public health information (class, health warning) as well as clustering of a sample of cigarette data. A number of thirty cigarette brands have been analyzed. Six categorical (cigaret...