Publication:
Comparing performance of feed-forward neural nets and k-means for cluster-based market segmentation

Date

Date

Date
1999
Journal Article
Published version

Abstract

Abstract

Abstract
We compare the performance of a specifically designed feedforward artificial neural network with one layer of hidden units to the K-means clustering technique in solving the problem of cluster-based market segmentation. The data set analyzed consists of usages of brands (product category: household cleaners) in different usage situations. The proposed feedforward neural network model results in a two segment solution that is confirmed by appropriate tests. On the other hand, the K-means algorithm fails in discovering any somewhat stro

Metrics

Views

124 since deposited on 2016-12-09
Acq. date: 2025-11-12

Additional indexing

Creators (Authors)

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
114

Number

Number

Number
2

Page range/Item number

Page range/Item number

Page range/Item number
346

Page end

Page end

Page end
353

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Scope

Scope

Scope
Discipline-based scholarship (basic research)

Language

Language

Language
English

Publication date

Publication date

Publication date
1999

Date available

Date available

Date available
2016-12-09

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
0377-2217

OA Status

OA Status

OA Status
Closed

Other Identification Number

Other Identification Number

Other Identification Number
merlin-id:14215

Metrics

Views

124 since deposited on 2016-12-09
Acq. date: 2025-11-12
Closed
Loading...
Thumbnail Image

Permanent URL

Permanent URL

Permanent URL
No files available