關鍵字查詢 | 類別:期刊論文 | | 關鍵字:Feature Selection via Correlation Coefficient Clustering

[第一頁][上頁]1[次頁][最末頁]目前在第 1 頁 / 共有 01 筆查詢結果
序號 學年期 教師動態
1 99/1 資訊系 許輝煌 教授 期刊論文 發佈 Feature Selection via Correlation Coefficient Clustering , [99-1] :Feature Selection via Correlation Coefficient Clustering期刊論文Feature Selection via Correlation Coefficient ClusteringHsu, Hui-Huang; Hsieh, Cheng-Wei淡江大學資訊工程學系Feature Selection; Clustering; Correlation Coefficient; Support Vector Machines (SVMs); Machine Learning; ClassificationOulu: Academy PublisherJournal of Software 5(12), pp.1371-1377Feature selection is a fundamental problem in machine learning and data mining. How to choose the most problem-related features from a set of collected features is essential. In this paper, a novel method using correlation coefficient clustering in removing similar/redundant features is proposed. The collected features are grouped into clusters by measuring their correlation coefficient values. The most class-dependent feature in each cluster is retained while others in the same cluster are removed. Thus, the most class-related and mutually unrelated features are identified. The proposed method was applied to two datasets: the disordered protein datase
[第一頁][上頁]1[次頁][最末頁]目前在第 1 頁 / 共有 01 筆查詢結果