Market segmentation by maximum likelihood clustering using choice elasticities.
Harald HruschkaWerner FettesMarkus ProbstPublished in: Eur. J. Oper. Res. (2004)
Keyphrases
- maximum likelihood
- image segmentation
- clustering algorithm
- level set
- segmentation method
- unsupervised learning
- k means
- segmentation algorithm
- clustering method
- data clustering
- expectation maximisation
- fully automatic
- self organizing maps
- likelihood function
- data points
- object segmentation
- document clustering
- segmentation accuracy
- unsupervised clustering
- multiscale
- expectation maximization
- image regions
- em algorithm
- cluster analysis
- hierarchical clustering
- region growing
- image segmentations
- affinity measure
- stock price
- categorical data
- decision making
- energy function
- high dimensional data
- feature space
- medical images
- input image