In an important theoretical article Speelman and McGann (2013) indicated that psychological researchers tend to use statistical procedures that involve calculating the mean of a variable in an uncritical manner. A typical procedure in psychological research consists of calculating the mean of some dependent variable in two or more samples and to present those means as summaries of the samples. ...

Practical approaches to clustering use an iterative procedure (e.g. K-Means, EM) which converges to one of numerous local minima. It is known that these iterative techniques are especially sensitive to initial starting conditions. We present a procedure for computing a refined starting condition from a given initial one that is based on an efficient technique for estimating the modes of a distr...

The study was conducted to investigate the ge-netic basis of kenaf fiber yield and quality In two sets of generations derived from 1X51 x Gha-na07 and Gregg x Ghana07 crosses. Analysis of generation means using weighted least squares procedure was performed on stalk dry weight, bast percentage, days to flowering, plant height, and basal stalk diameter . Analysis of generation means revealed tha...

This article demonstrates how the surgeon performs a major surgical procedure on himself using self-hypnosis as the means of anesthesia and pain control. The hypnotic techniques used by the author for self hypnosis are reviewed. These include glove anesthesia and transference; the switch technique; dissociation; positive imagery; as well as the specific post-hypnotic suggestions used by the sur...

Normal support vector machine (SVM) algorithms are not suitable for classification of large data sets because of high training complexity. In this paper, we introduce a method based on edge recognition technique to find low-value data, where to keep input data distribution, we use clustering algorithm like k-means to compute clusters centers. Data is selected through edge recognition algorithm ...

Reification of propositions expressing states, events, and properties has been widely advocated as a means of handling temporal reasoning in A I . The author proposes that such reification is both philosophically suspect and technically unnecessary. The reified theories of Allen and Shoham are examined and it is shown how they can be unreified. The resulting loss of expressive power can be rect...

One of the most widely used clustering techniques used in GISc problems is the k-means algorithm. One of the most important issues in the correct use of k-means is the initialization procedure that ultimately determines which part of the solution space will be searched. In this paper we briefly review different initialization procedures, and propose Kohonen’s SelfOrganizing Maps as the most con...