In this paper, a new method which combines unsupervised and supervised learning strategy is put forward to construct the multi classification decision tree.
提出了一种融合无监督和监督两种学习策略生成多分类决策树的方法。
CART decision tree has outstanding advantages on the issue of classification in dealing with multi-dimensional data with complex structure.
决策树能实现快速分类，CART决策树在处理复杂结构的多维数据分类问题上具有突出优势。
Two algorithms for structuring decision tree model of multi-dimensional time series classification were presented.
并给出了两种构造多维时间序列分类的决策树模型算法。
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