Art

J-GLOBAL ID：201802254353564370   Reference number：18A0064742

A NEW GRAPHICAL APPROACH TO CLASSIFY SPATIAL POINT PATTERNS BASED ON HIERARCHICAL CLUSTER ANALYSIS

階層的なクラスター分析に基づき空間点パターンを分類する新たなグラフ手法

Author (3)： TAKAI Tsutomu (Graduate Univ. Advanced Studies, Tokyo, JPN) ,  TAMURA Yoshiyasu (Graduate Univ. Advanced Studies, Tokyo, JPN) ,  MOTOYAMA Hitoshi (Aoyama Gakuin Univ., Tokyo, JPN)
Material： Journal of the Japanese Society of Computational Statistics  (J Jpn Soc Comput Stat)
Volume： 30  Issue： 1  Page： 1-14  Publication year： Dec. 2017 
JST Material Number： L1619A  ISSN： 0915-2350  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： coagulation treatment ,  *cluster analysis ,  automatic classification ,  *graph ,  data analysis ,  evaluation test ,  case study ,  comparison ,  visualization
Semi thesaurus term： coagulation method ,  performance comparative

JST classification (2)： Artificial intelligence  (JE08000Z) ,  Basics of graph theory  (IA02020S)

Reference (22)：

• Cressie, N. A. C. (1991). Statistics for Spatial Data, John Wiley & Sons, Inc., New York.
• Diggle, P. J., Besag, J. & Gleaves, J.T. (1976). Statistical analysis of spatial point patterns by means of distance methods. Biometrics, 32, 659-667.
• Diggle, P. J. (1979). On parameter estimation and goodness-of-fit testing for spatial point patterns. Biometrics, 35, 87-101.
• Diggle, P.J. (2003). Statistical Analysis of Spatial Point Pattern, 2nd edition. Academic Press, New York.
• Diggle, P.J. (2013). Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, 3rd edition. Chapman and Hall/CRC.

Terms in the title (5)： 階層 ,  クラスター分析 ,  点パターン ,  分類 ,  グラフ手法