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題 名 | 集群分析的理論與應用=Theories and Application of Cluster Analysis |
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作 者 | 王立心; | 書刊名 | 教育研究 |
卷 期 | 6 1998.06[民87.06] |
頁 次 | 頁91-116 |
分類號 | 520.28 |
關鍵詞 | 集群分析; 階層式集群分析; 非階層式集群分析; Cluster analysis; Hierarchical; Non-hierarchical; |
語 文 | 中文(Chinese) |
中文摘要 | 長久以來,社會科學家嘗試將他們所觀察到的人、事、物加以分類,使複雜的社 會與自然現象能夠更為精簡而有系統。集群分析便是能根據物體所共有的特性與他們之間相 異之處,對群體進行分類。本研究之目的乃在介紹集群分析的基本概念,並運用集群分析作 實際資料的運算。為達本研究之目的,文中首先探討集群分析的理論概念及計算方法,包含 非階層式集群分析、階層式集群分析,及因素分析法等運算方式;次就一簡單的假設性資料 進行實際演算,以瞭解不同方法間運算過程及結果之差異;最後並就不同集群分析的方法在 實徵研究中的應用作一分析。 |
英文摘要 | Social scientists have devised several ways to dealing with the association of data unit (subjects, persons, cases) each described by scores on selected variable (attributes, characteristics, measurements). Cluster analysis encompasses many diverse techniques for discovering structure within complex bodies of data. The purpose of this study is to give an introduction to subject of cluster analysis and utilizing the methodology with real data. For completing this purpose, theories and algorithms of non-hierarchical, hierarchical cluster, and factor analysis were discussed. Then the hypothesis data were calculated by herarchical and non-hierarchical cluster analysis to show the differences of those methods. Two empirical studies were presented as examples to demonstrate the practical uses of cluster analysis. |
本系統中英文摘要資訊取自各篇刊載內容。