Tree‐Structured Methods
暂无分享,去创建一个
Tree-structured methods are a class of adaptive statistical procedures used for exploratory data analysis and classification. An important feature of tree-structured models is that they yield results that can be expressed as a binary decision tree which can often facilitate data exploration.
[1] Pamela C. Cosman,et al. Medical Image Compression and Vector Quantization , 1998 .
[2] R.M. Gray,et al. A greedy tree growing algorithm for the design of variable rate vector quantizers [image compression] , 1991, IEEE Trans. Signal Process..
[3] J. Morgan,et al. Problems in the Analysis of Survey Data, and a Proposal , 1963 .
[4] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .