RUSSIAN JOURNAL OF EARTH SCIENCES VOL. 10, ES4001, doi:10.2205/2007ES000218, 2008
[45] Data preparation for cluster classification includes the formation of spatially identical matrixes for all the parameters used (see Section 3) and their values standardization required for this algorithm accounted for calculation of distances (required uniform parameter dimension). Then the tabulated data is loaded into program environment.
[46] The next step should be the classification test by minor N values. Here algorithm should step by step accomplish the classification of space analyzed into clusters, geologically valid. Starting with N =2 algorithm divides the area analyzed into oceanic and continental (shelf areas). At the next step ( N =3) the oceanic area is divided into basins and most elevated parts of MAR. During the following steps (up to N =5) successive isolation of MAR zone, including flanks and division into "cold'' and "hot'' parts takes place.
[47] Starting from step N > 5 trivial solutions are followed by situations not visually discernible. For example, differentiation of basins, MAR flanks and continent-ocean transition zones appears. At steps from N =8 to N =10 flank MAR zones obliquely oriented and locally deeply incised into basins along with isolation of MAR zone north of Iceland and pseudosymmetric superimposed effects start to appear. Final stable differentiation of MAR zone as well as most of basins and continental margins into clusters with physically clearly specification takes place on steps N =11 to N =13. Steps from N =14 to N =15 show final extraction of nontrivial clusters superimposed on main oceanic structural elements. The parameters of these elements differ by a value above parameter scatter within isolated zones belonging to one of the clusters.
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Figure 11 |
Citation: 2008), Geodynamic zonation of the Atlantic Ocean lithosphere: Application of cluster analysis procedure and zoning inferred from geophysical data, Russ. J. Earth Sci., 10, ES4001, doi:10.2205/2007ES000218.
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