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Multivariate generalised estimating equation (GEE) regression models were used to adjust for patient risk and clustering of procedures by surgeon.
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The proposed method is composed of two procedures: clustering of training HR patches and estimation of missing high-frequency components of a target image.
Unlike NCBI's UniGene procedure which only gathers similar ESTs together, the TIGR gene index procedure allows clustering of ESTs based on a pre-selected criterion (base pair identity in this case).
It is important to note, however, that the distribution of standardized connectivities is independent of the choice or use of clustering procedures.
See Table 2 caption for an explanation of clustering procedures and the value of d.
We illustrate that a wide range of clustering procedures, including generalized hierarchical methods, can be defined as parameters which are compositions of individual mappings for clustering patients and genes.
The initialization of the procedure is with an initial clustering of genes, and the procedure stops upon convergence.
We used a shift cost of 200 s−1 corresponding to a timing resolution of 5 ms. We decoded the peak parameter using the simple leave-one-out clustering procedure of the STA toolkit, using a clustering exponent of −10.
In one effort, using a combination of clustering and mapping procedures, an accuracy of more than 99% was attained in predicting the category status (compound forming or not) of new ternary systems.
A minimum set cover of classifiers is identified for the models and a clustering procedure of the models is suggested based on these classifiers.
A minimum set cover of classifiers has been identified for the models and a clustering procedure of the models has been suggested based on these classifiers.
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