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Han-Ming Wu
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2020 – today
- 2024
- [j8]Emily Chia-Yu Su, Han-Ming Wu:
Dimension reduction and visualization of multiple time series data: a symbolic data analysis approach. Comput. Stat. 39(4): 1937-1969 (2024)
2010 – 2019
- 2018
- [j7]Han-Ming Wu, Yin-Jing Tien, Meng-Ru Ho, Hai-Gwo Hwu, Wen-Chang Lin, Mi-Hua Tao, Chun-Houh Chen:
Covariate-adjusted heatmaps for visualizing biological data via correlation decomposition. Bioinform. 34(20): 3529-3538 (2018) - 2014
- [j6]Chiun-How Kao, Junji Nakano, Sheau-Hue Shieh, Yin-Jing Tien, Han-Ming Wu, Chuan-Kai Yang, Chun-Houh Chen:
Exploratory data analysis of interval-valued symbolic data with matrix visualization. Comput. Stat. Data Anal. 79: 14-29 (2014) - 2013
- [j5]Wei-Ting Yao, Han-Ming Wu:
Isometric sliced inverse regression for nonlinear manifold learning. Stat. Comput. 23(5): 563-576 (2013) - 2011
- [j4]Han-Ming Wu:
On biological validity indices for soft clustering algorithms for gene expression data. Comput. Stat. Data Anal. 55(5): 1969-1979 (2011) - 2010
- [j3]Han-Ming Wu, Yin-Jing Tien, Chun-Houh Chen:
GAP: A graphical environment for matrix visualization and cluster analysis. Comput. Stat. Data Anal. 54(3): 767-778 (2010)
2000 – 2009
- 2009
- [c1]ShengLi Tzeng, Han-Ming Wu, Chun-Houh Chen:
Selection of Proximity Measures for Matrix Visualization of Binary Data. BMEI 2009: 1-9 - 2008
- [j2]Yin-Jing Tien, Yun-Shien Lee, Han-Ming Wu, Chun-Houh Chen:
Methods for simultaneously identifying coherent local clusters with smooth global patterns in gene expression profiles. BMC Bioinform. 9 (2008) - 2007
- [j1]Han-Ming Wu, Henry Horng-Shing Lu:
Iterative sliced inverse regression for segmentation of ultrasound and MR images. Pattern Recognit. 40(12): 3492-3502 (2007)
Coauthor Index
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