Application of Fuzzy‐Set Clustering for Regional Typologies

Growth and Change

Volumn 24, Issue 2, 1993, Pages 155-165

  HARRIS, THOMAS R ^a   STODDARD, SHAWN W ^a   BEZDEK, JAMES C ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING PROCEDURE; ECONOMIC DEVELOPMENT; FUZZY-SET CLUSTERING; POSSIBILITY THEORY; REGIONAL ANALYSIS; THEORETICAL STUDIES;

USA, NEVADA;

EID: 0027737876     PISSN: 00174815     EISSN: 14682257     Source Type: Journal    
DOI: 10.1111/j.1468-2257.1993.tb00958.x     Document Type: Article

References (16)

1. Classifying municipalities and targeting FHA programs: New Jersey Case Study
2. Some recent application of fuzzy c‐means in pattern recognition and image processing
3. FCM: The fuzzy c‐means clustering algorithm
4. Statistical parameters of cluster validity functionals
5. A more objective procedure for determining economic subregions: Cluster analysis
6. The functional economic area: delineation and implications for economic analysis
7. Principal components and cluster analysis of 185 large town in england and wales
8. Intra‐ and inter‐state transferability of soybean variety research
9. A taxonomy of Nebraska county economies: An application of the optimization approach to identifying a system of regions
10. An analysis of rates of change in community per capita income by discriminate analysis
11. The BEA economic areas: Structural changes and growth, 1950–73
12. Fuzzy sets