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METHODS AND APPARATUSES FOR CLASSIFYING DATA POINT USING CLUSTERING BASED CONVEX HULL

机译:使用基于聚类的凸壳对数据点进行分类的方法和装置

摘要

The present invention relates to a data point classification method and apparatus using a clustering-based convex hull, and the data point classification method using a clustering-based convex hull according to an embodiment of the present invention includes: clustering data points into a plurality of clusters, Generating a convex hull for a single cluster having a single class label among the plurality of clustered clusters, a vertex of the generated convex hull among data points of the single cluster And removing the internal data points except for, and classifying the remaining data point sets excluding the removed internal data points from among the plurality of clustered clusters.
机译:本发明涉及一种使用基于聚类的凸壳的数据点分类方法和装置,以及根据本发明实施例的使用基于聚类的凸壳的数据点分类方法包括:将数据点聚类为多个群集,生成具有单个集群集群中的单个类标签的单个簇的凸壳,在单个簇的数据点之间的生成凸壳的顶点,并除了除以剩余数据之外的内部数据点点集中从多个集群集群中排除删除的内部数据点。

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