新闻聚类 [英] News clustering

问题描述

如何类似于谷歌新闻和Techmeme集群新闻项目？是否有任何众所周知的算法来实现这一目标？

How does Google News and Techmeme cluster news items that are similar? Are there any well know algorithm that is used to achieve this?

鸭preciate你的帮助。

Appreciate your help.

在此先感谢。

推荐答案

根据内容进行聚类文本的一个相当普遍的方法是使用的主成分分析的上的字向量（n维的向量，其中每一个可能的字再presents一维和幅度在每个方向，对于每个向量，是出现次数的字在该特定文章）中，随后只是一个简单的聚类诸如K均值

One fairly common way to cluster text based on content is to use Principle Component Analysis on the word vectors (a vector of n dimensions where each possible word represents one dimension and the magnitude in each direction, for each vector, is the number occurrences of the word in that particular article), followed by just a simple clustering such as K-Means.

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