Statistical Analysis of the Pattern Similarity between Two Sets of Regional Clusters
Bibliographic Data
| ID | 4139009 |
|---|---|
| Authors | Atsuyuki Okabe (0000-0003-4663-8053, The University of Tokyo, corresponding author) |
| Year | 1981 |
| Volume | 13 |
| Issue | 5 |
| Pages | 547-562 |
| Publication date | 1981-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning A Economy and Space (JOURNAL) |
| Journal identifiers | ISSN: 0308-518X • E-ISSN: 1472-3409 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1068/a130547 |
| OpenAlex | W2026046636 |
| Language | EN |
| References cited | 9 |
This paper shows a statistical method of testing the pattern similarity between two sets of regional clusters. First, to measure the similarity the distance between two sets of clusters is defined. Second, a statistical method is formulated to test whether or not the distance between two sets of clusters is close. Third, the concept of spatially well-grouped clusters is defined in conjunction with the above statistical test, and it is shown that this concept is useful for regional analysis. Last, the sets of regional clusters in the Kyushu region is studied by the above statistical test and concept
Data mining · Statistical analysis · Statistical hypothesis testing · Statistics · Computer Science · Mathematics · Regional Economic and Spatial Analysis · Artificial Intelligence
| Citation velocity | historical |
|---|---|
| Highly cited | No |