搜索结果: 16-25 共查到“理论统计学 Clustering”相关记录25条 . 查询时间(0.185 秒)
Operator norm convergence of spectral clustering on level sets
Spectral clustering graph unsupervised classification levelsets connected components
2010/3/10
Following Hartigan [1975], a cluster is defined as a connected component of
the t-level set of the underlying density, i.e., the set of points for which the
density is greater than t. A clustering a...
A new penalized criterion for variable selection and clustering using genotypic data
Variables selection Penalized Likelihood Slope heuristics Mixture multinomial models Population genetics
2010/3/10
We consider the problem of estimating the number of components and the rel-
evant variables in a mixture model for multilocus genotypic data. A new pe-
nalized maximum likelihood criterion is propos...
Spectral clustering based on local linear approximations
Spectral Clustering Higher-Order Affinities Local Linear Approximation Local PolynomialApproximation
2010/3/9
In the context of clustering, we assume a generative model where each cluster is the result
of sampling points in the neighborhood of an embedded smooth surface, possibly contaminated
with outliers....
Efficient Utility-based Clustering over High Dimensional Partition Spaces
Efficient Utility-based Clustering High Dimensional Partition Spaces
2009/9/24
Because of the huge number of partitions of even a moderately sized dataset, even when Bayes factors have a closed form, in model-based clustering a comprehensive search for the highest sco...
Improved Criteria for Clustering Based on the Posterior Similarity Matrix
adjusted Rand index cluster analysis Dirichlet process mixture model Markov chain Monte Carlo
2009/9/24
In this paper we address the problem of obtaining a single clustering estimate c based on an MCMC sample of clusterings c(1), c(2) . . . , c(M) from the posterior distribution of a Bayesi...
Modal Clustering in a Class of Product Partition Models
Bayesian nonparametrics Dirichlet process mixture model maximum a posteriori clustering maximum likelihood clustering
2009/9/24
This paper defines a class of univariate product partition models for
which a novel deterministic search algorithm is guaranteed to find the maximum
aposteriori (MAP)clustering or the maximum likeli...
Model-based subspace clustering
COSA Dirichlet process mixture model nonparametric Bayes unsupervised learning variable selection
2009/9/21
We discuss a model-based approach to identifying clusters of objects
based on subsets of attributes, so that the attributes that distinguish a cluster
from the rest of the population may depend on t...
Testing for Differences Among Discrete Distributions: An Application of Model-Based Clustering
Differences Discrete Distributions Model-Based Clustering
2009/9/17
Testing for Differences Among Discrete Distributions: An Application of Model-Based Clustering。
Directional Clustering Tests Based on Nearest Neighbor Contingency Tables
Association clustering complete spatial randomness independence random labeling spatialpattern
2010/3/18
Spatial interaction between two or more classes or species has important implications in various fields and causes multivariate patterns such as segregation or association. Segregation occurs when mem...
Persistent Clustering and a Theorem of J. Kleinberg
Clustering hierarchical clustering persistent topology categories functoriality Gromov-Hausdorff distance
2010/4/30
We construct a framework for studying clustering algorithms, which includes two key ideas:
persistence and functoriality. The first encodes the idea that the output of a clustering scheme should carr...