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In this case, the maximum variance criterion should be used.
The maximum variance criterion discussed above is used by Minasny et al. (2007).
Two types of stopping criteria are commonly used, namely, the fixed iterations criterion and the maximum variance criterion.
Maximum variance criterion means that the algorithm stops when the maximum for all the stratum variance is less than a threshold.
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Hierarchical clustering in addition needs a measure for the distance between clusters (a "linkage criterion"), and again several common measures were tried: single linkage (minimum intercluster dissimilarity), complete (maximum intercluster dissimilarity), average dissimilarity, dissimilarity of cluster centroids or medians, and finally the Ward minimum variance criterion.
PCA, using the standard deviation as a criterion, implies that the components of the signal of interest in the data set have a maximum variance and the other components are mainly due to the noise.
The modified within-class variance criterion, 2.
On the contrary, PCA uses only variance criterion and sparse coding method uses the variance and the sparsity criterions.
The modified within-class variance criterion, The overall probability of error criterion, and.
The 3SD method combines the variance criterion, the sparsity criterion, and the component's frequency criterion into a uniform framework.
The new axes lie along the directions of maximum variance.
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