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In both methods, the Euclidean distance between samples is used.
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The hierarchical clustering of filtered microarray data was performed using the average-linkage method, the euclidean distance metric and MeV.
In the proposed method, the Euclidean distance between two points in the Poincare plot contains the information of two consecutive amplitude changes of the original signal.
The cellular discrimination phase discards some candidates for all methods, excepting the "Euclidean distance" and "Bayes Classifier" methods (since the RFID phase only proposed one candidate in that case).
Figure 1 Comparing the line searches and CPU time of the three methods for the Euclidean distance matrix problem.
For building our conductance based model of the LP cell we developed a cost function consisting of three main components (see the Methods): (i) The Euclidean distance of normalized SDF waveforms, (ii) the absolute difference of the integrals of the SDFs, and (iii) the Euclidean distance of the moving average of the membrane potentials.
The x-axis is the Geodesic distance between clusters (i.e., distances in the neighborhood graph; methods), vs the Euclidean distances after embedding in 3D.
Countries are clustered together using the ascending hierarchical clustering method with the average linkage clustering as agglomeration method and the Euclidean distance as similarity metric, respectively.
For hierarchical cluster analysis, the complete linkage method and the Euclidean distance were used.
The proposed method adopts the Euclidean algorithm to obtain the greatest common divisor (GCD) of a polynomial and its fast derivative.
The analysis initially used a hierarchical clustering procedure, conducted with Ward's method and the Euclidean squared distance.
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Justyna Jupowicz-Kozak
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