A review of several methods of segmentation.

D. M. Hawkins; J. A. Ten Krooden

doi:10.1016/b978-0-08-023832-6.50016-4

A review of several methods of segmentation.

D. M. Hawkins, J. A. Ten Krooden

Statistics (Twin Cities)

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

The segmentation of univariate and multivariate geological traces is discussed. Competitive algorithms in order of statistical optimality are 1) global optimization of the likelihood by dynamic programming, 2) hierarchic optimization, and 3) split-moving window. On the criterion of computational requirements and ease of programming, this order is reversed. -Authors

Original language	English (US)
Pages (from-to)	117-126
Number of pages	10
Journal	Unknown Journal
DOIs	https://doi.org/10.1016/b978-0-08-023832-6.50016-4
State	Published - 1979

Access

10.1016/b978-0-08-023832-6.50016-4

OpenUrl availability

Full text

Cite this

@article{93d7bc4e795845eb955b91eb3f4e1beb,

title = "A review of several methods of segmentation.",

abstract = "The segmentation of univariate and multivariate geological traces is discussed. Competitive algorithms in order of statistical optimality are 1) global optimization of the likelihood by dynamic programming, 2) hierarchic optimization, and 3) split-moving window. On the criterion of computational requirements and ease of programming, this order is reversed. -Authors",

author = "Hawkins, {D. M.} and {Ten Krooden}, {J. A.}",

year = "1979",

doi = "10.1016/b978-0-08-023832-6.50016-4",

language = "English (US)",

pages = "117--126",

journal = "Unknown Journal",

issn = "0022-1120",

publisher = "Cambridge University Press",

}

TY - JOUR

T1 - A review of several methods of segmentation.

AU - Hawkins, D. M.

AU - Ten Krooden, J. A.

PY - 1979

Y1 - 1979

N2 - The segmentation of univariate and multivariate geological traces is discussed. Competitive algorithms in order of statistical optimality are 1) global optimization of the likelihood by dynamic programming, 2) hierarchic optimization, and 3) split-moving window. On the criterion of computational requirements and ease of programming, this order is reversed. -Authors

AB - The segmentation of univariate and multivariate geological traces is discussed. Competitive algorithms in order of statistical optimality are 1) global optimization of the likelihood by dynamic programming, 2) hierarchic optimization, and 3) split-moving window. On the criterion of computational requirements and ease of programming, this order is reversed. -Authors

UR - http://www.scopus.com/inward/record.url?scp=0018664601&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0018664601&partnerID=8YFLogxK

U2 - 10.1016/b978-0-08-023832-6.50016-4

DO - 10.1016/b978-0-08-023832-6.50016-4

M3 - Article

AN - SCOPUS:0018664601

SN - 0022-1120

SP - 117

EP - 126

JO - Unknown Journal

JF - Unknown Journal

ER -

A review of several methods of segmentation.

Abstract

Access

OpenUrl availability

Other files and links

Fingerprint

Cite this