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On Fuzzy Clustering for Incomplete Spherical Data and for Incomplete Multivariate Categorical Data

机译:不完全球形数据和不完全多元分类数据的模糊聚类研究

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摘要

In this paper, six fuzzy clustering algorithms for incomplete data are proposed that use the optimal completion strategy, three of which are for incomplete spherical data and these of which are for incomplete categorical multivariate data. In numerical experiments using a real dataset, each of the proposed methods outperformed its counterpart method based on the whole data strategy (WDS) in terms of accuracy.
机译:本文提出了六种基于最优完成策略的不完全数据模糊聚类算法,其中三种用于不完全球面数据,其中三种用于不完全分类多元数据。在使用真实数据集的数值实验中,每种方法在准确性方面均优于基于整个数据策略(WDS)的对应方法。

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