An Algorithm for Clustering Categorical Data With Set-Valued Features.

IEEE Transactions on Neural Networks and Learning Systems(2018)

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摘要
In data mining, objects are often represented by a set of features, where each feature of an object has only one value. However, in reality, some features can take on multiple values, for instance, a person with several job titles, hobbies, and email addresses. These features can be referred to as set-valued features and are often treated with dummy features when using existing data mining algorit...
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关键词
Clustering algorithms,Algorithm design and analysis,Data mining,Computational complexity,Learning systems,Convergence,Encoding
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