Still, clustering techniques coming from artificial neural networks, genetic algorithms, or fuzzy logic are more efficient within large, multidimensional databases (Brimicombe 2007).
The SOM method has been recently used by Spielman and Thill (2008) to develop geodemographic clustering of a census dataset concerning New York City.
PSYTE HD Canada[5] is a geodemographic market segmentation system that classifies Canadian postal codes and Dissemination Areas into 57 unique lifestyle groups and mutually exclusive neighborhood types.
PSYTE HD Canada is built on the Canadian Census demographic and socioeconomic base in addition to various other third party data inputs combined in a state of the art cluster build environment.
CAMEO UK has been built at postcode, household and individual level and classifies over 50 million British consumers.
Acorn helps to analyse and understand consumers in order to increase engagement with customers and service users to deliver strategies across all channels.
Originally created by Prof Richard Webber (visiting Professor of Geography at Kings College University, London) in association with Experian.
Mosaic Global is a consistent segmentation system that covers over 400 million of the world's households using local data from 29 countries.
In Australia, geoSmart is a geodemographic segmentation system based on the principle that people with similar demographic profiles and lifestyles tend to live near each other.
In Australia, geoSmart is mainly used for database segmentation, customer acquisition, trade area profiling and letterbox targeting, although it can be used in a broad range of other applications.
OAC has a wide variety of potential applications, from geographic analysis to social marketing and consumer profiling.