司法院經常聘請資深的法官將民事裁判中具有參考價值的法律意見摘錄出來，製作成民事裁判要旨，民事裁判要旨可作為法官審理類似案件時的辦案參考，因此，在司法實務上民事裁判的搜尋為不可或缺的工作。然隨著資訊科技的發達及裁判數量的累積，民裁判要旨的搜尋結果可能多達數百篇，造成法官須耗費大量的時間在民事裁判要旨的閱讀上，如果能利用資料探勘的技術將搜尋到的民事裁判要旨加以分群，且分群的正確性又可達到一定旳水準，便可節省法官閱讀民事裁判要旨的時間。在本研究中我們嘗試將資料探勘技術中的階層式分群法應用在民事裁判要旨的分群上，並將法律條文所出現的用語作為加權的主關鍵字評估可否改善分群的效果，以探討資料探勘技術中的階層式分群法應用在民事裁判要旨分群上的可行性與成效。 / Judicial Yuan often invites senior civil judges to extract legal opinions from civil judgments for making the purports of civil judgments. The purports of civil judgments can be consulted as trial judges handle the similar cases, therefore, in judicial practices, it is an indispensable work for civil judges to search the purports of civil judgments. However, with the development of information technology and the cumulative number of judgments, the number of search results may be as high as hundreds, civil judges must have spent a lot of time reviewing of the purports of civil judgments. If we can utilize data mining technologies to cluster the search results, and the accuracy of clustering can be attained to a certain standard, it will save civil judges a lot of time on reviewing the purports of civil judgments. In this study we attempt to apply hierarchical method on the clustering of the purports of civil judgments, and adjust the weights of main keywords derived from frequently used vocabulary of legal provisions to assess the feasibility and effectiveness of application of hierarchical method on clustering of the purports of civil judgments.