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題名 | Improved Clustering Algorithm Using GLA with Grey Relational Analysis=使用具灰關聯分析之擴展式洛伊德演算法於分群演算法之改進 |
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作者 | 朱淑娟; Chu, Shu-chuan; Roddick, John F.; |
期刊 | 高雄科學技術學院學報 |
出版日期 | 19991200 |
卷期 | 29 1999.12[民88.12] |
頁次 | 頁303-313 |
分類號 | 312.1 |
語文 | eng |
關鍵詞 | 灰關聯分析; 擴展式洛伊德演算法; 分群演算法; Clustering; Generalized lloyd algorithm; GLA; Grey relational analysis; GRA; |
中文摘要 | 由於資料量之增加,對利用分群技術來探索知識已日漸重要。本論文即將學習及比較擴展式洛伊德演算法、灰關聯分析及禁止搜尋方法。擴展式洛伊德演法組合灰關聯分析可得到一種改良之分群演算法,實驗結果證明此提出混合演算法之強化性。 |
英文摘要 | With the increase in data volumes, the ability for efficient and effective clustering techniques for knowledge discovery is becoming increasingly important. In this paper, the generalized Lloyd algorithm, grey relational analysis (GRA) and tabu search approach are studied and compared for cluster generation. We combine the generalized Lloyd algorithm with grey relational analysis to obtain an improved clustering algorithm. We provide experimental results which demonstrate the robustness of the proposed hybrid algorithm. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。