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Function-Point Cluster Analysis
Jeffrey Owen Katz and F. James Rohlf
Vol. 22, No. 3 (Sep., 1973), pp. 295-301
Stable URL: http://www.jstor.org/stable/2412309
Page Count: 7
You can always find the topics here!Topics: Local maximum, Cluster analysis, Centroids, Mathematical functions, Species, Mathematical vectors, Mathematical maxima, Matrices, Zoology, Coordinate systems
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The gradient clustering method of Ihm (1965) was reinvestigated and applied to several sets of real and artificial data. It is based on the technique of defining a function which has the property of being maximal in regions where there are high densities of points and low elsewhere. Points are considered to be in the same cluster if they are "under" the same local maximum of this function. The clusters obtained at different hierarchic levels are not necessarily nested. A generalization of the skyline graph is presented to depict such a system of cluster
Systematic Zoology © 1973 Oxford University Press