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.
针对几种典型的有监督及无监督分类算法，进行了深入的分析和比较。
Comprehensive analysis and comparisons are given for several typical algorithms in supervised and unsupervised classification.
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。
In this paper, a new method which combines unsupervised and supervised learning strategy is put forward to construct the multi classification decision tree.
与传统高光谱无监督分类算法比较，表明该算法的适用性，并具有更高的分类精度和准确性。
Moreover, compared with the conventional unsupervised classification algorithm of hyperspectral data, the proposed algorithm is more applicable and can obtain the better precision and accuracy.
聚类分析是在无先验知识无指导下进行数据无监督分类的一种数据挖掘技术。
Clustering analysis is one of the basic methods of the data mining and knowledge finding and it is a non - surveillance data classification method.
提出了一种用无监督聚类算法指导文本分类的方法，以解决没有训练集的文本分类问题。
We propose a method, use Unsupervised text Clustering algorithms (UTC) to guid text classification, so as to deal with text classification without training set.
聚类问题作为一种无监督的学习，能根据数据间的相似程度自动地进行分类。
As an unsupervised learning technique, dustering is a division of data into groups of similar objects.
聚类问题作为一种无监督的学习，能根据数据间的相似程度自动地进行分类。
As an unsupervised learning technique, dustering is a division of data into groups of similar objects.
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