Cluster analysis method in electrophoretic patterns classification

2005 ◽  
Vol 2 (1) ◽  
pp. 26-31
Author(s):  
F. Spirovski ◽  
K. Stojanoski ◽  
A. Mitrevski
Keyword(s):  
Cluster Analysis ◽  
Analysis Method ◽  
Electrophoretic Patterns ◽  
Cluster Analysis Method

scholarly journals Detection of drought events in Greece using daily precipitation

2010 ◽  
Vol 41 (2) ◽  
pp. 126-133 ◽  
Author(s):  
N. Kalamaras ◽  
H. Michalopoulou ◽  
H. R. Byun
Keyword(s):  
Cluster Analysis ◽  
Hierarchical Cluster Analysis ◽  
Daily Precipitation ◽  
Hierarchical Cluster ◽  
Seasonal Distribution ◽  
Drought Severity ◽  
Severe Drought ◽  
Analysis Method ◽  
Cluster Analysis Method ◽  
Insight Into

In this study a method proposed by Byun & Wilhite, which estimates drought severity and duration using daily precipitation values, is applied to data from stations at different locations in Greece. Subsequently, a series of indices is calculated to facilitate the detection of drought events at these sites. The results provide insight into the trend of drought severity in the region. In addition, the seasonal distribution of days with moderate and severe drought is examined. Finally, the Hierarchical Cluster Analysis method is used to identify sites with similar drought features.

Cluster Analysis Using N-gram Statistics for Daihinmin Programs and Performance Evaluations

2016 ◽  
Vol 4 (2) ◽  
pp. 33-57 ◽  
Author(s):  
Seiya Okubo ◽  
Takaaki Ayabe ◽  
Tetsuro Nishino
Keyword(s):  
Cluster Analysis ◽  
Imperfect Information ◽  
Computer Game ◽  
Computer Experiments ◽  
Performance Evaluations ◽  
Analysis Method ◽  
Cluster Analysis Method ◽  
N Gram ◽  
And Performance ◽  
Feature Values

In this paper, the authors elucidate the characteristics of the computer game Daihinmin, a popular Japanese card game that uses imperfect information. They first propose a method to extract feature values using n-gram statistics and a cluster analysis method that employs feature values. By representing the program card hands as several symbols, and the order of hands as simplified symbol strings, they obtain data that is suitable for feature extraction. The authors then evaluate the effectiveness of the proposed method through computer experiments. In these experiments, they apply their method to ten programs that were used in the UEC Computer Daihinmin Convention. In addition, the authors evaluate the robustness of the proposed method and apply it to recent programs. Finally, they show that their proposed method can successfully cluster Daihinmin programs with high probability.

A Cluster Analysis Method for Grouping Means in the Analysis of Variance

Biometrics ◽  
1974 ◽  
Vol 30 (3) ◽  
pp. 507 ◽  
Author(s):  
A. J. Scott ◽  
M. Knott
Keyword(s):  
Cluster Analysis ◽  
Analysis Of Variance ◽  
Analysis Method ◽  
Cluster Analysis Method

scholarly journals Dunn Index Bootstrap (DIBS): A procedure to empirically select a cluster analysis method that identifies biologically and clinically relevant molecular disease subgroups

2015 ◽  
Vol 16 (Suppl 15) ◽  
pp. P12 ◽  
Author(s):  
Iwona Pawlikowska ◽  
Zhifa Liu ◽  
Lei Shi ◽  
Tong Lin ◽  
Tanja Gruber ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Analysis Method ◽  
Cluster Analysis Method

scholarly journals Analiza skupień w badaniu struktury funkcjonalnej gmin na przykładzie województwa lubuskiego

2017 ◽  
pp. 105-114
Author(s):  
Przemysław Szczuciński
Keyword(s):  
Cluster Analysis ◽  
Local Development ◽  
Spatial Development ◽  
Functional Structure ◽  
Analysis Method ◽  
Economic Role ◽  
Statistical Verification ◽  
Grass Root ◽  
Cluster Analysis Method ◽  
Number Of Classes

In theoretical and practical study of regional and local development considerable emphasis is placed on grass-root, local development factors. A particular role in this regard play communes, as subject of the study. This article presents review of selected concepts in commune classification and results of surveys carried out within this scope. The functional structure of communes was specified at the example of Lubuskie Voivodeship, i.e. according to economic role played by them. For that purpose one of cluster analysis method was applied – Ward’s method. The division for selected number of classes was subject to factual and statistical verification. The obtained results may serve as guidance in management of spatial development of the region.

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