@article{oai:reitaku.repo.nii.ac.jp:00000329,
 author = {佐藤, 仁志 and Sato, Hitoshi},
 issue = {1},
 journal = {麗澤経済研究, Reitaku International Journal of Economic Studies},
 month = {Mar},
 note = {The purpose of this study is to identify the structure of the Tokyo metropolitan area by using small area statistics. A Metropolitan area is the sphere that has a strong relationship between downtown and suburbs. Also, there is some kindred area within the same Metropolitan area. We tried to clear the structure of the Tokyo metropolitan area by nonhierarchical clustering. Specifically, we tried to classify the Tokyo metropolitan area according to the K-means method and the X-means method by using the data of the commuting rate. As a result, we obtained the following results:
1. We were not able to set an appropriate metropolitan area by the k-means method when the number of clusters was assumed to be two. However, because the classified kind of number was a little, we were not able to do an appropriate classification by this method.
2. In the x-means method, we classified the metropolitan area into 122 kinds of clusters. We combined the results of this result and Anselin 's Local Moran' s I and clarified the structure of the Tokyo metropolitan area.},
 pages = {123--135},
 title = {非階層的クラスタリングによる東京大都市圏の考察},
 volume = {19},
 year = {2011},
 yomi = {サトウ, ヒトシ}
}