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Jangsun Baek
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Journal Articles
- 2021
- [j6]Jinwon Heo, Jangsun Baek:
A Penalized Matrix Normal Mixture Model for Clustering Matrix Data. Entropy 23(10): 1249 (2021) - 2011
- [j5]Jangsun Baek, Geoffrey J. McLachlan:
Mixtures of common t-factor analyzers for clustering high-dimensional microarray data. Bioinform. 27(9): 1269-1276 (2011) - 2010
- [j4]Jangsun Baek, Geoffrey J. McLachlan, Lloyd K. Flack:
Mixtures of Factor Analyzers with Common Factor Loadings: Applications to the Clustering and Visualization of High-Dimensional Data. IEEE Trans. Pattern Anal. Mach. Intell. 32(7): 1298-1309 (2010) - 2008
- [j3]Young Sook Son, Jangsun Baek:
A modified correlation coefficient based similarity measure for clustering time-course gene expression data. Pattern Recognit. Lett. 29(3): 232-242 (2008) - 2007
- [j2]Jangsun Baek, Young Sook Son, Geoffrey J. McLachlan:
Segmentation and intensity estimation of microarray images using a gamma-t mixture model. Bioinform. 23(4): 458-465 (2007) - 2004
- [j1]Jangsun Baek, Min-Soo Kim:
Face recognition using partial least squares components. Pattern Recognit. 37(6): 1303-1306 (2004)
Conference and Workshop Papers
- 2008
- [c3]Geoffrey J. McLachlan, Jangsun Baek:
Clustering of High-Dimensional Data via Finite Mixture Models. GfKl 2008: 33-44 - 2006
- [c2]Jangsun Baek, Young Sook Son:
Local Linear Logistic Discriminant Analysis with Partial Least Square Components. ADMA 2006: 574-581 - 2001
- [c1]Min-Soo Kim, Jangsun Baek, Soo-Hyung Kim, Gueesang Lee:
Two-dimensional wavelet-packet-based feature selection method for image recognition. Document Recognition and Retrieval 2001: 307-314
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