the main focus in this study is on data pre-processing, reduction in number of inputs or input space size reduction the purpose of which is the justified generalization of data set in smaller dimensions without losing the most significant data. in case the input space is large, the most important input variables can be identified from which insignificant variables are eliminated, or a variable ...

A novel model for Fisher discriminant analysis is developed in this paper. In the new model, maximal Fisher criterion values of discriminant vectors and minimal statistical correlation between feature components extracted by discriminant vectors are simultaneously required. Then the model is transformed into an extreme value problem, in the form of an evaluation function. Based on the evaluatio...

A classification method is developed to classify samples when both labelled and unlabelled samples are available. The classification rule is estimated using both the labelled and unlabelled data, in contrast to many classical methods which only use the labelled data for estimation. This methodology models the data as arising from a Gaussian mixture model with parsimonious covariance structure, ...

background: several instruments have so far been developed in english language to measure the level of work-family conflict and further validation is required for non-english speakers. objective: to test factorial structure and construct validity of the persian version of work-family conflict scale among iranian nurse. methods: this study was conducted among 456 iranian nurses working at public...

This paper presents a procedure for studying industrial performance and related issues such as changes in the wage structure. This procedure combines cluster analysis and discriminant analysis as a package, and applies this package to time series data. This enables us to organize industrial data into groups with similar wage or performance histories and then to extract summary time-series showi...

This article utilizes data envelopment analysis (DEA) to estimate the productivity of the English and Welsh police forces and to determine whether there are categorical scale effects in policing using multiple discriminant analysis (MDA). The article demonstrates that by using DEA efficiency results it is possible to make inferences about the optimal size and structure of the English and Welsh ...

Nowadays, human activity recognition is considered to be one of the fundamental topics in computer vision research areas, including human-robot interaction. In this work, a novel method is proposed utilizing the depth and optical flow motion information of human silhouettes from video for human activity recognition. The recognition method utilizes enhanced independent component analysis (EICA) ...