The linkage between the lifestyle of knowledge-workers and their intra-metropolitan residential choice: A clustering approach based on self-organizing maps

Computers, Environment and Urban Systems

Volumn 39, Issue , 2013, Pages 151-161

  Frenkel, Amnon ^a   Bendit, Edward ^a   Kaplan, Sigal ^b  

^a TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

^b TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Knowledge workers; Neural networks; Residential choice; Self organizing maps

Indexed keywords

BUILDING TYPES; CENTRAL LOCATIONS; CLUSTERING APPROACH; DETACHED HOUSE; KNOWLEDGE-WORKERS; METROPOLITAN AREA; PATTERN RECOGNITION AND CLASSIFICATION; RESIDENTIAL CHOICE;

CONFORMAL MAPPING; NEURAL NETWORKS; PATTERN RECOGNITION;

HOUSING;

ARTIFICIAL NEURAL NETWORK; CLUSTER ANALYSIS; HOMEOWNERSHIP; IMAGE CLASSIFICATION; LIFESTYLE; METROPOLITAN AREA; PATTERN RECOGNITION; SELF ORGANIZATION; SUBURBAN AREA;

ISRAEL; TEL AVIV; TEL AVIV-JAFFA;

EID: 84877617007     PISSN: 01989715     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compenvurbsys.2012.09.001     Document Type: Article

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