會議論文

學年期 標題 Sdgs 更新時間
098 / 1 Selection of Proximity Measures for Matrix Visualization of Binary Data 2011-10-01
097 / 1 Biological validity indices for fuzzy clustering algorithms for gene expression data 2011-10-01
096 / 2 GAP: A Graphical Environment for Matrix Visualization and Cluster analysis 2011-10-01
097 / 2 Image Segmenation Based on Weighted Fuzzy C-means and Soft Sufficient Dimension Reduction 2011-10-01
097 / 1 Isometric Sliced Inverse Regression for Nonlinear Manifolds 2011-10-01
098 / 2 Isometric Sliced Inverse Regression for Nonlinear Manifolds Learning 2011-10-01
098 / 2 On Biological Validity Indices for Soft Clustering Algorithms for Gene Expression Data 2011-10-01
097 / 1 session chair 2011-10-01
097 / 1 Tutorial on Information Visualization for High Dimensional Biomedical Data:the Matrix Visualization Approach 2011-10-01
099 / 1 Unsupervised MR Brain Images Segmentation using Fuzzy C-means based on Fuzzy Sufficient Dimension 2011-10-01
099 / 2 Nonlinear Extension of Sliced Inverse Regression Using the Geodesic Distance Approximation 2011-10-08
100 / 2 On Multivariate Kernel Sliced Inverse Regression 2013-10-09
103 / 1 Dimension reduction and visualization of histogram-valued data using sliced inverse regression 2014-09-05
103 / 1 Cumulative slicing estimation for multiple nonlinear manifolds learning 2014-09-05
103 / 1 Dimension reduction and visualization of time dependent interval data using sliced inverse regression 2015-03-04
103 / 1 Dimension reduction and visualization of multivariate time series data: a symbolic data analysis approach 2015-03-04
102 / 1 Nonlinear Dimension Reduction Through Cumulative Slicing Estimation for Nonlinear Manifolds Learning 2015-03-04
102 / 1 On Visualization of Fuzzy Clustering Results 2015-03-05
103 / 2 R軟體於象徵性資料的統計圖與視覺化 2015-10-26
103 / 2 Exploratory symbolic data analysis with dimension reduction methods 2015-10-26
104 / 1 Principal Component Analysis for Multiple Time Series Data: A Symbolic Data Analysis Approach 2015-10-26
104 / 1 Exploratory Symbolic Data Analysis With Dimension Reduction Methods 2016-03-31