An effective way to do so is to find a cut that maximizes similarity of microstate-to-macrostate transition probability, i.e. projection similarity (equation 8), within clusters and minimizes this similarity between clusters.
The boundaries of block groups are chosen to maximize similarity within group on socioeconomic factors.
Therefore, optimizing the objective function will primarily maximize similarity between the volumes with little regard for the time structure of the OCT scanning process.
Sequence alignment is nothing more than a procedure for maximizing similarity, and it is unnecessary to assume common ancestry to maximize similarity.
However, there are many, non-codivergence events (duplications, exchanges or switching, and sorting) required to maximize the incidence of co-divergences between the core and its satellites (when maximizing similarity through common descent).
The objective function is either to maximize the similarity of the minimum free energy (MFE) structure to the target, or to maximize the probability of the target structure in the ensemble.
Following this hypothesis we build the partitioning model that it splits the chemical space in groups in order to maximize the similarity of their chemical compounds and to minimize the error of a model associated with this group.
Note that the sub-pixel alignment performed here is conceptually slightly different from the intra-block alignment of patterns, as we do not want to optimize a similarity measures with respect to a certain reference pattern here, but rather maximize the similarity of each pattern with respect to the others.
We also aimed to maximize the similarity of the expression profiles of the wild-type and refactored genomes for a set of extreme environments and for a set of critical genes that guarantee the functionality of the refactored system.
The three parameters are determined to maximize the predicting ability of BLUP|GA by maximizing the similarity of T and the genetic relationship at unobserved causal loci.
