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Volumn 49, Issue , 2013, Pages 152-170

Spatial interaction - Modification model and applications to geo-demographic analysis

Author keywords

Data mining; Fuzzy clustering; Geo demographic analysis; Geographic effects; Spatial interaction modification model

Indexed keywords

ANALYSIS PROBLEMS; CLUSTERING QUALITY; DEMOGRAPHIC DATA; GEO-DEMOGRAPHIC ANALYSIS; GEOGRAPHIC EFFECTS; MODIFICATION MODEL; SPATIAL INTERACTION; THEORETICAL AND EXPERIMENTAL;

EID: 84879884293     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2013.05.005     Document Type: Article
Times cited : (36)

References (12)
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  • 2
    • 0025995869 scopus 로고
    • Spatial interaction in geography
    • M. Birkin, and G.P. Clarke Spatial interaction in geography Geography Review 4 5 1991 16 24
    • (1991) Geography Review , vol.4 , Issue.5 , pp. 16-24
    • Birkin, M.1    Clarke, G.P.2
  • 4
    • 0005476757 scopus 로고    scopus 로고
    • Fuzzy geodemographics: A contribution from fuzzy clustering methods
    • S. Carver, Taylor & Francis London
    • Z. Feng, and R. Flowerdew Fuzzy geodemographics: a contribution from fuzzy clustering methods S. Carver, Innovations in GIS 5 1998 Taylor & Francis London 119 127
    • (1998) Innovations in GIS 5 , pp. 119-127
    • Feng, Z.1    Flowerdew, R.2
  • 5
    • 84862800691 scopus 로고    scopus 로고
    • A fuzzy k-prototype clustering algorithm for mixed numeric and categorical data
    • J. Ji, W. Pang, C. Zhou, X. Han, and Z. Wang A fuzzy k-prototype clustering algorithm for mixed numeric and categorical data Knowledge-Based Systems 30 2012 129 135
    • (2012) Knowledge-Based Systems , vol.30 , pp. 129-135
    • Ji, J.1    Pang, W.2    Zhou, C.3    Han, X.4    Wang, Z.5
  • 6
    • 84855918144 scopus 로고    scopus 로고
    • A fuzzy intelligent approach to the classification problem in gene expression data analysis
    • M. Khashei, A.Z. Hamadani, and M. Bijari A fuzzy intelligent approach to the classification problem in gene expression data analysis Knowledge-Based Systems 27 2012 465 474
    • (2012) Knowledge-Based Systems , vol.27 , pp. 465-474
    • Khashei, M.1    Hamadani, A.Z.2    Bijari, M.3
  • 9
    • 84859212245 scopus 로고    scopus 로고
    • A novel intuitionistic fuzzy clustering method for geo-demographic analysis
    • L.H. Son, B.C. Cuong, P.L. Lanzi, and N.T. Thong A novel intuitionistic fuzzy clustering method for geo-demographic analysis Expert Systems with Applications 39 10 2012 9848 9859
    • (2012) Expert Systems with Applications , vol.39 , Issue.10 , pp. 9848-9859
    • Son, L.H.1    Cuong, B.C.2    Lanzi, P.L.3    Thong, N.T.4
  • 11
    • 84866482285 scopus 로고    scopus 로고
    • Semi-supervised fuzzy clustering with metric learning and entropy regularization
    • X. Yin, T. Shu, and Q. Huang Semi-supervised fuzzy clustering with metric learning and entropy regularization Knowledge-Based Systems 35 2012 304 311
    • (2012) Knowledge-Based Systems , vol.35 , pp. 304-311
    • Yin, X.1    Shu, T.2    Huang, Q.3
  • 12
    • 84871924112 scopus 로고    scopus 로고
    • Ranked k-medoids: A fast and accurate rank-based partitioning algorithm for clustering large datasets
    • S.M.R. Zadegan, M. Mirzaie, and F. Sadoughi Ranked k-medoids: a fast and accurate rank-based partitioning algorithm for clustering large datasets Knowledge-Based Systems 39 2013 133 143
    • (2013) Knowledge-Based Systems , vol.39 , pp. 133-143
    • Zadegan, S.M.R.1    Mirzaie, M.2    Sadoughi, F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.