First International Conference on MOLDAVIAN RISKS – FROM ...
First International Conference on MOLDAVIAN RISKS – FROM ...
First International Conference on MOLDAVIAN RISKS – FROM ...
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<str<strong>on</strong>g>First</str<strong>on</strong>g> <str<strong>on</strong>g>Internati<strong>on</strong>al</str<strong>on</strong>g> <str<strong>on</strong>g>C<strong>on</strong>ference</str<strong>on</strong>g> <strong>on</strong> <strong>MOLDAVIAN</strong> <strong>RISKS</strong> - <strong>FROM</strong> GLOBAL TO LOCAL SCALE<br />
16-19 May 2012, Bacau, Romania<br />
CLUSTER ANALYSIS TO SELECT THE SEISMIC ZONES OF<br />
ROMANIA<br />
Burtiev Rashid<br />
Institute of Geology and Seismology of Academy of Science of Moldova<br />
Corresp<strong>on</strong>ding author: Burtiev Rashid, burtiev_rashid@mail.ru<br />
Abstract: Cluster Analysis is a collecti<strong>on</strong> of objects similar to <strong>on</strong>e another within the same<br />
cluster and dissimilar to the objects in other clusters. The epicenters are tendency for<br />
clustering. Therefore was d<strong>on</strong>e the attempt use cluster analysis forr establishing seismic<br />
z<strong>on</strong>ing of Romania. Applied n<strong>on</strong>-hierarchical k means and agglomerative hierarchical<br />
clustering algorithms. Determining the optimal number of clusters was carried out<br />
according to the minimum of the total variance, the average silhouette width, the maximum<br />
of Calinski-Harabasz; Krzanowski-Lai Index, and the method of Elbow. Methods to<br />
optimize the quality of clustering soluti<strong>on</strong> identified in 4 clusters. Calculated by the<br />
method of silhouettes and the values of Akaike and Bayesian informati<strong>on</strong> criteri<strong>on</strong> optimal<br />
number of clusters is 3. But the dominant decisi<strong>on</strong> be cluster 4. C<strong>on</strong>sequently, in Romania<br />
there are defined 4 seismic regi<strong>on</strong>s.<br />
Cluster analysis identified 34 seismic z<strong>on</strong>es in Italy. The cluster decisi<strong>on</strong> 34 was estimated<br />
the “Two step”.<br />
Key words: Seismic regi<strong>on</strong>s; cluster analysis; informati<strong>on</strong> criteri<strong>on</strong>.<br />
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