關鍵字查詢 | 類別:期刊論文 | | 關鍵字:Isometric Sliced Inverse Regression for Nonlinear Manifolds Learning

[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
1 102/1 數學系 吳漢銘 副教授 期刊論文 發佈 Isometric Sliced Inverse Regression for Nonlinear Manifolds Learning , [102-1] :Isometric Sliced Inverse Regression for Nonlinear Manifolds Learning期刊論文Isometric Sliced Inverse Regression for Nonlinear Manifolds LearningYao, Wei-ting; Wu, Han-ming淡江大學數學學系Hierarchical clustering; Isometric feature mapping (ISOMAP); Nonlinear dimension reduction; Nonlinear manifold; Rank-two ellipse seriation; Sliced inverse regressionNew York: Springer New York LLCStatistics and Computing 23(5), pp.563-576Sliced inverse regression (SIR) was developed to find effective linear dimension-reduction directions for exploring the intrinsic structure of the high-dimensional data. In this study, we present isometric SIR for nonlinear dimension reduction, which is a hybrid of the SIR method using the geodesic distance approximation. First, the proposed method computes the isometric distance between data points; the resulting distance matrix is then sliced according to K-means clustering results, and the classical SIR algorithm is applied. We show that the isometric SIR (ISOSIR) can reveal th
[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