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Information processing apparatus, method and program for determining weight of each feature in subjective hierarchical clustering

机译:用于确定主观层次聚类中每个特征的权重的信息处理设备,方法和程序

摘要

An information processing apparatus determines a weight of each physical feature for hierarchical clustering by acquiring training data of multiple pieces of content in triplets with label information indicating a pair specified by a user as having a highest degree of similarity among three contents of the triplet and executing hierarchical clustering using a feature vector of each piece of content of the training data and the weight of each feature to determine the hierarchical structure of the training data. The information processing apparatus updates the weight of each feature so that the degree of agreement between a pair combined first as being the same clusters among three contents of the triplet in a determined hierarchical structure and a pair indicated by label information corresponding to the triplet increases.
机译:信息处理设备通过获取三元组中具有指示由用户指定为三元组的三个内容中具有最高相似度的一对的标签信息的多条内容的多个训练数据并执行来确定用于分层聚类的每个物理特征的权重并执行使用训练数据的每个内容的特征向量和每个特征的权重来确定训练数据的层次结构的分层聚类。信息处理设备更新每个特征的权重,以使得在确定的分层结构中首先组合为三元组的三个内容中的相同簇的一对与由对应于三元组的标签信息表示的对之间的一致程度增加。

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