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
In collections
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
ISSN or e-ISSN
ISSN or e-ISSN
ISSN or e-ISSN
0377-2217
OA Status
OA Status
OA Status
Closed
Publisher DOI
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
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