61 生物 晶片资料 分析-分类与分群 Ñ 资料 分类与分群 (Data classification and clustering) Ñ 分类 (Classification) ,不脱窠臼的 (Supervised) : 资料 ..
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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.
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。
Data mining commonly involves a few standard tasks that include clustering, classification, regression, and associated rule learning.
数据挖掘通常涉及到一些标准的任务,包括聚集、分类、回归分析和关联性规则学习。
This article discussed two data mining algorithms: the classification tree and clustering.
本文讨论了两种数据挖掘算法:分类树和群集。
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