...不懂的题目的要领等角度,模式识别分为有监督的分类(Supervised Classification)和无监督的分类(Unsupervised Classification)两种 模式识别(Pattern Recognition)是人的总称的一项基本智能,在一样平常糊口中,许多人时常在进行“模式识别”跟着2广普脱敏八...
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这将在后面成为无监督学习上下文分类的一个例子。
This would be an example of unsupervised learning in a classification context.
对无监督学习来说这个目标很难实现,因为缺乏事先确定的分类。
In unsupervised learning, the goal is harder because there are no pre-determined categorizations.
确定研究区内不同地物采用监督分类和无监督分类时相应的参数和阈值。
Made sure of the parameters and thresholds of different objects with supervised and unsupervised classification.
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