数据挖掘中的“相似性" [英] 'Similarity' in Data Mining

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本文介绍了数据挖掘中的“相似性"的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

在数据挖掘领域,是否有一个特定的子学科称为相似性"?如果是,请问该如何处理.任何示例,链接,参考都将有所帮助.

In the field of Data Mining, is there a specific sub-discipline called 'Similarity'? If yes, what does it deal with. Any examples, links, references will be helpful.

此外,作为该领域的新手,我希望社区对于数据挖掘和人工智能之间的紧密联系提出意见.它们是同义词,是另一个的子集吗?

Also, being new to the field, I would like the community opinion on how closely related Data Mining and Artificial Intelligence are. Are they synonyms, is one the subset of the other?

预先感谢您分享知识.

推荐答案

在数据挖掘领域,是否有一个特定的子学科称为相似性"?

In the field of Data Mining, is there a specific sub-discipline called 'Similarity'?

是的.数据挖掘和机器学习中有一个特定的子领域,称为度量学习,旨在学习数据实例之间更好的距离度量.

Yes. There is a specific subfield in data mining and machine learning called metric learning, which aims to learn a better distance metric among data instances.

您知道以下任何概念吗?

Do you know any of the following concepts?

欧几里德距离

Mahalanobis距离

皮尔森相关性

余弦相似度内核功能

了解这些内容之后,您将知道什么是相似性".

After you know these, you will know what is 'similarity'.

我希望社区成员对数据挖掘和人工智能之间的紧密联系持看法.

I would like the community opinion on how closely related Data Mining and Artificial Intelligence are.

很难区分什么是数据挖掘,什么是AI.当您刚接触该领域时,请勿讨论此问题.在学习了10种数据挖掘算法并阅读了一些AI书籍后,您将了解两者之间的区别和关系.

It is very hard to distinguish what is data mining, what is AI. Don't discuss this question when you are new in the field. When you have learned 10 algorithms in data mining and read some AI books, you will know the difference and the relation.

这篇关于数据挖掘中的“相似性"的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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