Jangsun Baek

发表

Mixtures of Factor Analyzers with Common Factor Loadings: Applications to the Clustering and Visualization of High-Dimensional Data

Geoffrey J. McLachlan, Jangsun Baek, Lloyd K. Flack, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Mixtures of factor analyzers for the analysis of high-dimensional data

Geoffrey J. McLachlan, Jangsun Baek, Suren I. Rathnayake, 2011 .

Comparison of the Cluster Validation Methods for High-dimensional (Gene Expression) Data

Jangsun Baek, Yun-Kyoung Jeong, 2007 .

Developing a GUI-based Standalone Application of MATLAB Program for Windows

Jangsun Baek, Yun-Kyoung Jeong, 2008 .

Clustering of High-Dimensional Data via Finite Mixture Models

Geoffrey J. McLachlan, Jangsun Baek, G. McLachlan, 2008, GfKl.

Text Summarization using PCA and SVD

Jangsun Baek, Min-Soo Kim, Hyuk-Ro Park, 2003 .

Gene expression Segmentation and intensity estimation of microarray images using a gamma-t mixture model

Geoffrey J. McLachlan, Jangsun Baek, Young Sook Son, 2007 .

A Automatic Document Summarization Method based on Principal Component Analysis

Jangsun Baek, Guee-Sang Lee, Min-Soo Kim, 2002 .

Local Linear Logistic Discriminant Analysis with Partial Least Square Components

Jangsun Baek, Young Sook Son, Jangsun Baek, 2006, ADMA.

Mixtures of common t-factor analyzers for clustering high-dimensional microarray data

Geoffrey J. McLachlan, Jangsun Baek, G. McLachlan, 2011, Bioinform..

Feature Extraction and Statistical Pattern Recognition for Image Data using Wavelet Decomposition

Jangsun Baek, Min-Soo Kim, 1999 .

Video character recognition improvement by support vector machines and regularized discriminant analysis

Jangsun Baek, Min-Soo Kim, Su-Yeol Lim, 2010 .

A modified correlation coefficient based similarity measure for clustering time-course gene expression data

Jangsun Baek, Young Sook Son, Jangsun Baek, 2008, Pattern Recognit. Lett..

Face recognition using partial least squares components

Jangsun Baek, Min-Soo Kim, Min-Soo Kim, 2004, Pattern Recognit..

Two-dimensional wavelet-packet-based feature selection method for image recognition

Soo-Hyung Kim, Gueesang Lee, Jangsun Baek, 2000, IS&T/SPIE Electronic Imaging.

Mixture of factor analyzers for the clustering and visualization of high-dimensional data

Jangsun Baek, Suren I. Rathnayake, Geoffrey J. McLachlan, 2019 .

A Penalized Matrix Normal Mixture Model for Clustering Matrix Data

Jangsun Baek, Jinwon Heo, 2021, Entropy.