منابع مشابه
Bayesian approach to cluster expansions
Cluster expansions have proven to be a valuable tool in alloy theory and other problems in materials science but the generation of cluster expansions can be a computationally expensive and time-consuming process. We present a Bayesian framework for developing cluster expansions that explicitly incorporates physical insight into the fitting procedure. We demonstrate how existing methods fit with...
متن کاملA Bayesian Approach to Cluster Validation
In this paper, we propose a novel approach to validating clusterings. We treat a given clustering as a baseline and define a collection of perturbations of it that give possibly different assignment of points to clusters. If these are indexed by a hyperparameter, integrating with respect to a prior gives an averaged assignment matrix. This matrix can be visualized as a heat map, allowing cluste...
متن کاملBayesian approach to inference of population structure
Methods of inferring the population structure, its applications in identifying disease models as well as foresighting the physical and mental situation of human beings have been finding ever-increasing importance. In this article, first, motivation and significance of studying the problem of population structure is explained. In the next section, the applications of inference of p...
متن کاملCombinatorics and cluster expansions
Abstract: This article is about the connection between enumerative combinatorics and equilibrium statistical mechanics. The combinatorics side concerns species of combinatorial structures and the associated exponential generating functions. The passage from species to generating functions is a combinatorial analog of the Fourier transform. Indeed, there is a convolution multiplication on specie...
متن کاملA Bayesian semi-parametric approach to cluster heterogeneous time series
Majority of time series clustering research is focused on calculating similarity metrics between individual series, which in conjunction with traditional clustering algorithm partitions the data into similar groups (clusters). A major challenge lies in obtaining partitions when the number of clusters is not known in advance. Another challenge in such a clustering problem is to apply known hiera...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Physical Review B
سال: 2009
ISSN: 1098-0121,1550-235X
DOI: 10.1103/physrevb.80.024103