Cluster analysis of functional-group polarizabilities

Cluster Functional Renormalization Group

Functional renormalization group (FRG) has become a diverse and powerful tool to derive effective low-energy scattering vertices of interacting many-body systems. Starting from a non-interacting expansion point of the action, the flow of the RG parameter Λ allows to trace the evolution of the effective one-particle and two-particle vertices towards low energies by taking into account the vertex...

Functional Evaluation of Mazandaran Province Cities Using Factor Analysis, Numerical Taxonomy and Cluster Analysis

Incremental evaluation of coupled cluster dipole polarizabilities.

In this work we present the first implementation of the incremental scheme for coupled cluster linear-response frequency-dependent dipole polarizabilities. The implementation is fully automated and makes use of the domain-specific basis set approach. The accuracy of the approach is determined on the basis of a test suite of 47 molecules and small clusters. The local approximation in the coupled...

functional evaluation of mazandaran province cities using factor analysis, numerical taxonomy and cluster analysis

one priority of planning at the regional level is to recognize the system of residence and particularly its urban system. one of the features of urban system in each area or country is the way of population distribution between the cities of these areas which is called city distribution size. in functional analysis of mazandaran province 41 development indexes of educational, cultural, social, ...

Cluster analysis of muscle functional MRI data.

Muscle functional magnetic resonance imaging (mfMRI) is frequently used to determine spatial patterns of muscle involvement in exercising humans. A frequent finding in mfMRI is that, even within synergistic muscle groups, signal intensity (SI) data from individual voxels can be quite heterogeneous. The purpose of this study was to develop a novel method for organizing heterogeneous mfMRI data i...