Synthesized clustering: A method for amalgamating alternative clustering bases with differential weighting of variables

Wayne Desarbo; J. Douglas Carroll; Linda A. Clark; Paul E. Green

doi:10.1007/BF02294206

Synthesized clustering: A method for amalgamating alternative clustering bases with differential weighting of variables

Wayne Desarbo, J. Douglas Carroll, Linda A. Clark, Paul E. Green

Marketing

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

123 Scopus citations

Abstract

In the application of clustering methods to real world data sets, two problems frequently arise: (a) how can the various contributory variables in a specific battery be weighted so as to enhance some cluster structure that may be present, and (b) how can various alternative batteries be combined to produce a single clustering that "best" incorporates each contributory set. A new method is proposed (SYNCLUS, SYNthesized CLUStering) for dealing with these two problems.

Original language	English (US)
Pages (from-to)	57-78
Number of pages	22
Journal	Psychometrika
Volume	49
Issue number	1
DOIs	https://doi.org/10.1007/BF02294206
State	Published - Mar 1 1984

All Science Journal Classification (ASJC) codes

General Psychology
Applied Mathematics

Access to Document

10.1007/BF02294206

Cite this

@article{e83c81ccb76e4d96a61c63f1cadb8b6c,

title = "Synthesized clustering: A method for amalgamating alternative clustering bases with differential weighting of variables",

abstract = "In the application of clustering methods to real world data sets, two problems frequently arise: (a) how can the various contributory variables in a specific battery be weighted so as to enhance some cluster structure that may be present, and (b) how can various alternative batteries be combined to produce a single clustering that {"}best{"} incorporates each contributory set. A new method is proposed (SYNCLUS, SYNthesized CLUStering) for dealing with these two problems.",

author = "Wayne Desarbo and Carroll, {J. Douglas} and Clark, {Linda A.} and Green, {Paul E.}",

year = "1984",

month = mar,

day = "1",

doi = "10.1007/BF02294206",

language = "English (US)",

volume = "49",

pages = "57--78",

journal = "Psychometrika",

issn = "0033-3123",

publisher = "Springer New York",

number = "1",

}

TY - JOUR

T1 - Synthesized clustering

T2 - A method for amalgamating alternative clustering bases with differential weighting of variables

AU - Desarbo, Wayne

AU - Carroll, J. Douglas

AU - Clark, Linda A.

AU - Green, Paul E.

PY - 1984/3/1

Y1 - 1984/3/1

N2 - In the application of clustering methods to real world data sets, two problems frequently arise: (a) how can the various contributory variables in a specific battery be weighted so as to enhance some cluster structure that may be present, and (b) how can various alternative batteries be combined to produce a single clustering that "best" incorporates each contributory set. A new method is proposed (SYNCLUS, SYNthesized CLUStering) for dealing with these two problems.

AB - In the application of clustering methods to real world data sets, two problems frequently arise: (a) how can the various contributory variables in a specific battery be weighted so as to enhance some cluster structure that may be present, and (b) how can various alternative batteries be combined to produce a single clustering that "best" incorporates each contributory set. A new method is proposed (SYNCLUS, SYNthesized CLUStering) for dealing with these two problems.

UR - http://www.scopus.com/inward/record.url?scp=0002414638&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0002414638&partnerID=8YFLogxK

U2 - 10.1007/BF02294206

DO - 10.1007/BF02294206

M3 - Article

AN - SCOPUS:0002414638

SN - 0033-3123

VL - 49

SP - 57

EP - 78

JO - Psychometrika

JF - Psychometrika

IS - 1

ER -

Synthesized clustering: A method for amalgamating alternative clustering bases with differential weighting of variables

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this