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題 名 | Approximated Clustering via Grey Mountain Clustering Method=基於灰色登山分類法之近似分類方法 |
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作 者 | 呂虹慶; 洪達雄; 葉明豐; | 書刊名 | 大同學報 |
卷 期 | 28 1998.11[民87.11] |
頁 次 | 頁197-204+459 |
分類號 | 312.1 |
關鍵詞 | 近似分類方法; 登山分類法; 修正式灰色關聯分析; |
語 文 | 英文(English) |
中文摘要 | 本論文所提出之近似分類方法乃結合登山分類法與修正式灰色關聯分析等之特性。所提出的近似分類方法和傳統的登山分類法一樣,均為簡單且有效率的分類方法。此外,本文所提出的方法亦可降低相鄰資料間互相影響的情況,故可獲得比傳統之登山分類法較佳的分類結果。最後,我們舉出兩個例子來驗證分類結果的正確性,由分類的結果可知,所提出的方法不僅和傳統的登山分類法一樣簡單,且具有較快速的分類特點。 |
英文摘要 | Integrated the features of the mountain clustering method and the developed modified grey relational analysis, a new grey mountain clustering method is proposed in this paper. The proposed method provides a simple and effective scheme for estimation of the cluster centers as the traditional mountain clustering method. Next, based on the proposed grey mountain method, a modified grey mountain clustering method is developed to eliminate the mutual effect of neighboring data for obtaining well clustering results. Finally, to verify the clustering capability of the proposed two schemes, two simple examples are given. The numerical results show that the proposed method not only is as simple as the mountain clustering mothod but also has fast clustering ability. |
本系統中英文摘要資訊取自各篇刊載內容。