Vine copulas for mixed data: multi-view clustering for mixed data beyond meta-Gaussian dependencies

DOI10.1007/s10994-016-5624-2zbMath1460.62099OpenAlexW2580358300MaRDI QIDQ1698838

Vaibhav Rajan, Lavanya Sita Tekumalla, Chiranjib Bhattacharyya

Publication date: 16 February 2018

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-016-5624-2

zbMATH Keywords

mixed datamulti-viewvine copuladependency-seeking clustering

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Characterization and structure theory for multivariate probability distributions; copulas (62H05)

Uses Software

• UCI-ml
• CDVine
• PMTK
• PhysioToolkit
• clustMD
• GloVe
• CopulaModel

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Pair-copula constructions of multiple dependence
• Extending the rank likelihood for semiparametric copula estimation
• Model-based clustering using copulas with applications
• Clustering South African households based on their asset status using latent variable models
• Model-based clustering, classification, and discriminant analysis of data with mixed type
• Mixture of D-vine copulas for modeling dependence
• Comparing clusterings -- an information based distance
• Model based clustering for mixed data: clustMD
• Dependence Modeling with Copulas
• Pair Copula Constructions for Multivariate Discrete Data
• Bayesian Density Estimation and Inference Using Mixtures
• Estimation of Copula Models With Discrete Margins via Bayesian Data Augmentation
• A Primer on Copulas for Count Data

This page was built for publication: Vine copulas for mixed data: multi-view clustering for mixed data beyond meta-Gaussian dependencies