您将看到它更像是分类与群集的组合，并为我们消灭数据误导的使命提供了另一种有用的武器。
You'll see that it is like a combination of classification and clustering, and provides another useful weapon for our mission to destroy data misinformation.
本文讨论了两种数据挖掘算法：分类树和群集。
This article discussed two data mining algorithms: the classification tree and clustering.
本系列后续的文章将会涉及挖掘数据的其他方法，包括群集、最近的邻居以及分类树。
Future articles will touch upon other methods of mining data, including clustering, Nearest Neighbor, and classification trees.
运行分类、群集或最近邻都不如回归模型简单，但它们也没有那么困难。
Running a classification, clustering, or Nearest Neighbor isn't quite as easy as a regression model, but they aren't much harder.
与分类相比，群集的一个好处是数据集内的每个属性都被用来分析该数据。
One defining benefit of clustering over classification is that every attribute in the data set will be used to analyze the data.
与分类相比，群集的一个好处是数据集内的每个属性都被用来分析该数据。
One defining benefit of clustering over classification is that every attribute in the data set will be used to analyze the data.
应用推荐