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1·Competitive learning is an unsupervised learning.

竞争学习是一种无监督学习。

2·Use some unsupervised learning algorithm to label data.

使用无监督学习算法对标签数据。

3·There are actually two approaches to unsupervised learning.

非监督学习一般有两种思路。

4·This would be an example of unsupervised learning in a classification context.

这将在后面成为无监督学习上下文分类的一个例子。

5·An unsupervised learning approach for analysis of human motion is proposed.

提出了一种基于非监督学习的人体运动分析方法。

6·We need to use more of a combination of supervised and unsupervised learning.

我们需要将监督式和非监督式学习更紧密地结合起来。

7·Unsupervised Learning: Input data is not labelled and does not have a known result.

无监督学习：输入数据不带标签或者没有一个已知的结果。

8·In unsupervised learning, the goal is harder because there are no pre-determined categorizations.

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。

9·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。

10·In unsupervised learning, only learning to network with some samples, rather than provide an ideal output.

在无监督学习中，只向网络提供一些学习样本，而不提供理想的输出。