Spatial-temporal analysis of a seismic series using the principal components method: The Antequera Series, Spain, 1989

1993 ◽  
Vol 98 (B2) ◽  
pp. 1923-1932 ◽  
Author(s):  
A. M. Posadas ◽  
F. Vidal ◽  
F. de Miguel ◽  
G. Alguacil ◽  
J. Peña ◽  
...  
Keyword(s):  
Principal Components ◽  
Temporal Analysis ◽  
Principal Components Method ◽  
Components Method ◽  
Spatial Temporal Analysis

Assessment of Water Body State in Rostov NPP Area Using the Principal Components Method

2018 ◽  
Vol 13 (4) ◽  
pp. 17-23
Author(s):  
E. A. Abidova ◽  
O. I. Bejsug ◽  
O. E. Draka ◽  
А. E. Dembickij ◽  
O. Yu. Pugachyova
Keyword(s):  
Principal Components ◽  
Water Body ◽  
Body State ◽  
Principal Components Method ◽  
Components Method

scholarly journals Clustering of objects with poorly formalizable features based on a neural network in the form of Kohonen layers

2018 ◽  
Vol 80 (3) ◽  
pp. 86-91 ◽  
Author(s):  
I. A. Kubasov ◽  
A. V. Melnikov ◽  
S. A. Maltsev ◽  
I. R. Narushev
Keyword(s):  
Principal Components ◽  
Deviant Behavior ◽  
Dimensional Space ◽  
Full Range ◽  
Point Of View ◽  
Multidimensional Space ◽  
Two Dimensional ◽  
Source Information ◽  
Principal Components Method ◽  
Components Method

Analysis of profiles of minors in social networks shows that teenagers indicate in them information that increases the level of their social desirability. Such information often does not correspond to the real behavior of the teenager. For a full analysis of the level of deviance of a minor need tools covering the full range of indicators. In contrast to the usual approach to clustering objects based on their Association in groups by the criterion of the minimum distance in multidimensional space when clustering features it is advisable to take into account their proximity to the methods of obtaining information and methods of processing of this information by the inspector for minors. In the first phase of the study is the clustering of signs of deviation, the second the determination of the weighting factors of indicator of the degree of deviance within each group of signs, the third uses the method of cluster-hierarchical approach to forming integral indicator of assessment of deviant behavior of minors. The indicator has a considerable flexibility of the correlation between groups of symptoms and partial characteristics through the introduction of appropriate sets of weighting coefficients. The conclusion is made about the preference of methods based on clustering of objects in the two-dimensional space of targets or accounts of the principal components method, as well as the need for additional analysis of the graphical picture of the relative location of objects. From the comparison of different approaches: 1) clustering on the basis of the generalized indicator of quality and the sign of reverse deviance, 2) clustering on two accounts of the principal components method; 3) clustering on all signs of examination, the following conclusions can be drawn. All methods properly allocate the objects to clusters. However, when you save the main totals (highlighting the best and worst features), the results are slightly different. This is due to the different volume and forms of presentation of the source information. The program assigns numbers of active neurons (clusters) arbitrarily, so in order to arrange the cluster numbers by some feature (for example, the quality of objects), you need to use additional graphical information. From a practical point of view, the first two methods are preferred, based on clustering objects in two-dimensional space, the method of principal components and the analysis of the graphical picture of the mutual location of objects.

Comparison of Factors from the Bem Sex-Role Inventory for Male and Female College Students

1980 ◽  
Vol 46 (3) ◽  
pp. 1011-1017 ◽  
Author(s):  
Thomas M. Kimlicka ◽  
James A. Wakefield ◽  
Alan F. Friedman
Keyword(s):  
College Students ◽  
Principal Components ◽  
Sex Role ◽  
Female College Students ◽  
Poor Agreement ◽  
Bem Sex Role Inventory ◽  
Male And Female ◽  
Males And Females ◽  
Principal Components Method ◽  
Components Method

The 40 sex-typed items of the Bern Sex-role Inventory were analyzed by the principal components method for samples of 169 male and 206 female undergraduates. The Bern Sex-role Inventory assumes psychological masculinity (M) and femininity (F) as independent, unipolar dimensions of personality which can be measured using pools of items treated as homogeneous. The two analyses were compared with each other and with theoretical orthogonal factors of masculinity and femininity. The results indicated that the two sets of items measure the same constructs for males and females and show agreement with theoretical factors. In addition, the masculine items defined three small factors (rather than one) for each sex and eight feminine items showed poor agreement with the femininity factor. Suggestions for improving the inventory were presented.

scholarly journals Management of Regional Imbalances in the Russian Mortgage Market Using the Principal Components Method

2021 ◽  
pp. 1-16
Author(s):  
Tatyana S. KOROSTELEVA ◽  
Vladimir Y. TSELIN
Keyword(s):  
Sustainable Development ◽  
Regional Development ◽  
Principal Components ◽  
Mortgage Market ◽  
Regional Markets ◽  
Principal Components Method ◽  
Components Method

The article is devoted to the topic of sustainable development of mortgage instruments in the context of pronounced imbalances in regional development. The analysis was carried out on the example of 85 regional markets of Russia, heterogeneous in terms of the degree of development of mortgage mechanisms in their own territories.

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