To estimate the fault dimension of an earthquake in real time, we present a methodology to classify seismic records into near-source or far-source records. Characteristics of ground motion, such as peak ground acceleration, have a strong correlation with the distance from a fault rupture for large earthquakes. This study analyzes peak ground motions and finds the function that best classifies n...

More than three years of measurements of aerosol size-distribution and different gas and meteorological parameters made in Po Valley, Italy were analysed for this study to examine which of the meteorological and trace gas variables effect on the emergence of nucleation events. As the analysis method, we used discriminant analysis with nonparametric Epanechnikov kernel, included in non-parametri...

A high-performance biologically-inspired odor identification system is described. As a means of odor recognition, learning vector quantization (LVQ) algorithm is employed. Performance improvement is obtained with the use of a preprocessing with discriminant analysis of input samples. Due to sample-based decision, the system can be reliably operated as a real-time electronic nose.

Support vector machine classifiers are widely used in pattern recognition applications. Contextual information can improve the classifier accuracy for image classification. The autocorrelation function can be used to estimate how relevant the neighborhood information is for a pixel classification. This paper proposes a support vector machine classifier that uses contextual information of the di...

BACKGROUND With data from a diverse sample of patients either in treatment for cancer or post-treatment for cancer, we examine inter-domain and cross-domain correlations among the core domains of the Patient-Reported Outcomes Measurement Information System Sexual Function and Satisfaction measures (PROMIS® SexFS) and the corresponding domains from conceptually-similar measures of sexual functio...

Identification of Individuals With Covert Ischemic Thrombotic Cerebrovascular Disease: A Discriminant Function Analysis • Sixty-one men with ischemic thrombotic cerebrovascular disease (ITCVD) and 61 age-matched controls ( ± three years) were studied to select risk factors which would identify ITCVD-prone individuals from a healthy population. Numerous clinical and biochemical measurements were...

Description This function is used to classify microarray data. Since the underlying model fit is based on penalized discriminant methods, there is no need for a pre-filtering step to reduce the number of genes. Usage pdmClass(formula , method = c("pls", "pcr", "ridge"), keep.fitted = Arguments formula A symbolic description of the model to be fit. Details given below. method One of "pls", "pcr"...

With the growth of web data, how to estimate web page quality effectively and rapidly becomes more and more important for web information retrieval and knowledge discovery. This paper analyzes the differences between retrieval target pages and ordinary pages using query-independent features. Using these features, an algorithm called Linear Page Estimation (LPE) is proposed for web page quality ...

The use of principal components in linear discriminant analysis has been considered by several authors. However, many of the properties of procedures associated with this usage are unknown. Here, using a simulation study, we investigate the power to choose thècorrect' components in the discriminant function. We also include the null case where no component has any discriminatory value.