Model-based clustering based on sparse finite Gaussian mixtures.

about

Comparison of Criteria for Choosing the Number of Classes in Bayesian Finite Mixture Models Clustering high-dimensional mixed data to uncover sub-phenotypes: joint analysis of phenotypic and genotypic data.Identifying Mixtures of Mixtures Using Bayesian Estimation.

P2860

Q36247535-AD0848A8-2B76-4CCF-9304-70FF05DEBBDD Q38700902-35510B12-54BC-4178-8192-4D64F50FDF18 Q38720146-66EB2D97-B5AC-4598-A1B8-23153108B6AC

P2860

Model-based clustering based on sparse finite Gaussian mixtures.

Item

http://www.wikidata.org/entity/Q36571507

description

2014 nî lūn-bûn

@nan

2014年の論文

@ja

2014年論文

@yue

2014年論文

@zh-hant

2014年論文

@zh-hk

2014年論文

@zh-mo

2014年論文

@zh-tw

2014年论文

@wuu

2014年论文

@zh

2014年论文

@zh-cn

name

Model-based clustering based on sparse finite Gaussian mixtures.

@ast

Model-based clustering based on sparse finite Gaussian mixtures.

@en

type

Item

label

Model-based clustering based on sparse finite Gaussian mixtures.

@ast

Model-based clustering based on sparse finite Gaussian mixtures.

@en

prefLabel

Model-based clustering based on sparse finite Gaussian mixtures.

@ast

Model-based clustering based on sparse finite Gaussian mixtures.

@en

P1476

Model-based clustering based on sparse finite Gaussian mixtures.

@en

P2860

The use of multiple measurements in taxonomic problems

Model-based clustering and data transformations for gene expression data.

A mixture model-based approach to the clustering of microarray expression data.

Variable selection for model-based high-dimensional clustering and its application to microarray data.

Bayes variable selection in semiparametric linear models

Latent Class Analysis Variable Selection.

BAYESIAN WAVELET-BASED CURVE CLASSIFICATION VIA DISCRIMINANT ANALYSIS WITH MARKOV RANDOM TREE PRIORS.

Nonparametric Bayes Conditional Distribution Modeling With Variable Selection.

Combining Mixture Components for Clustering.

Hierarchical Bayesian nonparametric mixture models for clustering with variable relevance determination.

P2888

s11222-014-9500-2

P304

303-324

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1007/S11222-014-9500-2

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

Bettina Grün

Gertraud Malsiner-Walli

Sylvia Frühwirth-Schnatter

P577

2014-08-26T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

271919109

http://www.w3.org/2001/XMLSchema#string

P698

26900266

http://www.w3.org/2001/XMLSchema#string

P818

1606.06828

http://www.w3.org/2001/XMLSchema#string

P932

4750551

http://www.w3.org/2001/XMLSchema#string

Model-based clustering based on sparse finite Gaussian mixtures.

about

P2860

P2860

Model-based clustering based on sparse finite Gaussian mixtures.

description

name

type

label

prefLabel

P1433

P1476

P2860

P2888

P304

P31

P356

P478

P50

P577

P5875

P698

P818

P932

P356

P1433

P1476

P2860

P2888

P304

P31

P356

P478

P50

P577

P5875

P698

P818

P932