Projection indices and multimodality for mixtures of normal distributions

G. Eslava and F. H. C. Marriott

Statistics & Probability Letters, 1999, vol. 43, issue 3, 289-297

Abstract: Projection pursuit indices are intended to give 'interesting' one- or two-dimensional projections of data points in higher-dimensional spaces. This paper compares the performance of seven such indices. They are all minimum for a normal distribution, and are standardized to be zero for that case. They are compared by considering projections of a mixture of four trivariate spherical normal distributions with means at the vertices of a regular tetrahedron.

Keywords: Clustering; Grouping; Projection; pursuit; indices; Multinormal; mixtures; Sphering (search for similar items in EconPapers)
Date: 1999
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(98)00269-7
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:43:y:1999:i:3:p:289-297

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().