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Clusterability and Centroid Approximation

2003
Identifying clusters in a dataset is valuable. Most existing data clustering algorithms need the number of clusters as an input. The present paper introduces a graphical method that outputs the number of clusters. Once the number of clusters is calculated, other clustering algorithms may use it. This method is cubic in the number of input data.
Alina Romero, Mukkai S. Krishnamoorthy
openaire   +1 more source

Cluster approximations in alloys

physica status solidi (b), 1973
AbstractSeveral cluster approximations in alloys are discussed and numerically studied for the one‐dimensional tight‐binding model. The approximations are compared, and some interrelations are found to exist. The shortcomings of the cluster approximations such as broadening, shifting, and diminishing of various cluster bands are exhibited.
openaire   +1 more source

An approximate coupled cluster doubles polarization propagator approximation

International Journal of Quantum Chemistry, 1988
A polarization propagator method based upon an approximate coupled cluster doubles (ACCD) wavefunction is presented and applied to CH+ and Be in calculations of excitation energies and radiative lifetimes. It is found that in these cases the computational results are nearly identical to results obtained using a similar method based on the full coupled ...
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A goal-oriented adaptive procedure for the quasi-continuum method with cluster approximation

Computational Mechanics, 2015
Arash Memarnahavandi   +2 more
semanticscholar   +1 more source

Mean-field (n,m)-cluster approximation for lattice models.

Physical Review A. Atomic, Molecular, and Optical Physics, 1992
Daniel ben-Avraham, J. Kohler
semanticscholar   +1 more source

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