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非监督图像分类
environ.	unsupervised image classification Unsupervised classification is a kind of classification which takes place with minimum input from the operator; no training sample is available and subdivision of the feature space is achieved by identifying natural groupings of the measurement vectors (非监督分类是一种有最小算法输入的分类，它没有训练样本。通过确定度量向量的自然分组来实现对特征空间的划分。)