In the context of devising a spatial ear-training system, a study into the perceptual construct ‘ensemble depth’ was executed. Based on the findings of a pilot study into the auditory effects of early reflection (ER) pattern characteristics, exemplary stimuli were created. Changes were highly controlled to allow unidimensional variation of the intended quality. To measure the psychological stru...

According to the generalized context model (GCM) (Nosofsky, 1986 ), people represent categories by storing individual exemplars (or examples) in memory, and classify objects based on their similarity to these stored exemplars. For example, the model assumes that people represent the category of ‘birds’ by storing in memory the vast collection of different sparrows, robins, eagles, ostriches (an...

Social identity theory offers a means to understand attitudes about wolves, with consequences for management support. Using data from mail survey we explored relationships among seven identities (i.e., wolf advocate, hunter, environmentalist, nature enthusiast, farmer, trapper, conservationist) using multidimensional scaling (MDS) and principal components analysis (PCA). We examined how correla...

In this paper, we analyze the nontrivial zeros of Riemann zeta-function using multidimensional scaling (MDS) algorithm and computational visualization features. The as well vectors with several neighboring are interpreted basic elements (points or objects) a data set. Then employ variety different metrics, such Jeffreys Lorentzian ones, to calculate distances between objects. set calculated is ...

Position is an extremely important parameter for each node in most of applications using wireless sensor work (WSN). In this paper, a new distributed localization (DMDS-GC) algorithm is proposed based on the multidimensional scaling (MDS) technique and the geometric correction technique. In DMDS-GC, the entire network is split into several localization clusters (LCs) with sufficient common node...

One of the most popular graph drawing methods is based of achieving graphtheoretic target ditsances. This method was used by Kamada and Kawai [15], who formulated it as an energy optimization problem. Their energy is known in the multidimensional scaling (MDS) community as the stress function. In this work, we show how to draw graphs by stress majorization, adapting a technique known in the MDS...

1 Abstract Few studies have explored the possibility of mining Web hyperlink data for e-commerce or business information. This study is an attempt to fill this gap. The project selected a group of telecommunications equipment companies and collected data on the number of links pointing to the company Websites (inlinks) and the company’s revenue. A significant correlation between the two variabl...

Further tests were provided of an exemplar-similarity model for relating the identification and categorization of separable-dimension stimuli (Nosofsky, 1986). On the basis of confusion errors in an identification paradigm, a multidimensional scaling (MDS) solution was derived for a set of 16 separable-dimension stimuli. This MDS solution was then used in conjunction with the exemplar-similarit...

Two experiments are reported in which linear separability was investigated in superordinate natural language concept pairs (e.g., toiletry-sewing gear). Representations of the exemplars of semantically related concept pairs were derived in two to five dimensions using multidimensional scaling (MDS) of similarities based on possession of the concept features. Next, category membership, obtained ...

Software cost estimation is a crucial task in software project portfolio decisions like start scheduling, resource allocation, or bidding. A variety of estimation methods have been proposed to support estimators. Especially the analogy-based approach—based on a project’s similarities with past projects—has been reported as both efficient and relatively transparent. However, its performance was ...