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It first constructs a partition tree, which contains a great number of disjoint partitions of the frequency axis of a signal with each corresponding to an orthogonal harmonic wavelet basis.
A partition tree (recursive partitioning) algorithm was used here.
Table 3 shows factors observed to be confounded with those analyzed in Figure 2. The confounding relationships were determined by fitting a partition tree model to each factor in Figure 2, using the other 16 factors as predictors.
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As a result, a hybrid binary partition tree is created which represents a hierarchical division of given classes.
A similarity relation with its partition tree has been applied in the performance evaluation area for obtaining an agglomerative hierarchical clustering.
We name our approach semantic partition tree (SPT).
Equation (9); TCB: Total clade branch; TP: Taxa partition tree.
The un-weighted partition broadly distributes TCA cycle and amino acid reactions across various branches in the hierarchical partition tree.
The enumeration of cyclical EFMs started at the terminal leaf modules of the hierarchical partition tree, and proceeded in order of increasing module height (defined as the maximum path length from the module to the root of the partition tree).
The probabilities of progression for the different subgroups derived from the optimal partition tree were then compared using Kaplan Meier analysis.
We used recursive descent partition tree analysis to find the factor showing the strongest association with response and define the optimal cut-point of this factor.
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CEO of Professional Science Editing for Scientists @ prosciediting.com