A hierarchical mixture model for clustering three-way data sets

Research output: Contribution to journalArticleScientificpeer-review

92 Downloads (Pure)
Original languageEnglish
Pages (from-to)5368-5376
JournalComputational Statistics and Data Analysis
Volume51
Issue number11
Publication statusPublished - 2007

Cite this

@article{1660b3a550244061a07d22c702302317,
title = "A hierarchical mixture model for clustering three-way data sets",
author = "J.K. Vermunt",
year = "2007",
language = "English",
volume = "51",
pages = "5368--5376",
journal = "Computational Statistics & Data Analysis",
issn = "0167-9473",
publisher = "Elsevier",
number = "11",

}

A hierarchical mixture model for clustering three-way data sets. / Vermunt, J.K.

In: Computational Statistics and Data Analysis, Vol. 51, No. 11, 2007, p. 5368-5376.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - A hierarchical mixture model for clustering three-way data sets

AU - Vermunt, J.K.

PY - 2007

Y1 - 2007

M3 - Article

VL - 51

SP - 5368

EP - 5376

JO - Computational Statistics & Data Analysis

JF - Computational Statistics & Data Analysis

SN - 0167-9473

IS - 11

ER -