We propose a new method for clustering based on local minimization of the gamma-divergence, which we call spontaneous clustering. The greatest advantage of the proposed method is that it automatically detects the number of clusters that adequately...
Chen, Pengwen National Chung Hsing University, Hung Hung Institute of Epidemiology Preventive Medicine Komori Osamu The Institute of Statistical Mathematics Su-Yun Huang Institute of Statistical Science Academia Sinica, Eguchi Shinto The Institute of Statistical Mathematics
Selected Topics in Signal Processing, IEEE Journal 7(4) 614-624 2013年8月 [査読有り]
Computational and Mathematical Methods in Medicine 2013 14 2013年 [査読有り]
This paper discusses mathematical and statistical aspects in analysis methods applied to microarray gene expressions. We focus on pattern recognition to extract informative features embedded in the data for prediction of phenotypes. It has been po...
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS E94D(10) 1863-1869 2011年10月 [査読有り]
This paper discusses recent developments for pattern recognition focusing on boosting approach in machine learning. The statistical properties such as Bayes risk consistency for several loss functions are discussed in a probabilistic framework. Th...
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