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- W2371071488 abstract "Data clustering label technology is a method that performs clustering on a small-scale sample set and then labels the rest of samples by using the clustering results.It is an effective way to improve the efficiency of large-scale data clustering.The mixed data are the most widely used data type in real-world applications.This paper regards user's interest data as a small-scale data and it is clustered by the K-prototypes clustering algorithm.The clustering result is used to construct the user's interest domains.The membership degree of a sample to the user's interest is defined by the relationship of the attribute values of the unlabeled sample and the components of the users' interest domain.A mixed data clustering label algorithm is proposed based on the concepts of users' interest and data-user's interest domain membership degree.This algorithm can overcome the limitation that unlabeled data is only assigned a class label by the existing data label algorithms.It can be applied to recommendation service and user behavior analysis in electronic commerce.The experiments show that the algorithm has better results on the mixed data clustering label processing." @default.
- W2371071488 created "2016-06-24" @default.
- W2371071488 creator A5064435064 @default.
- W2371071488 date "2013-01-01" @default.
- W2371071488 modified "2023-09-23" @default.
- W2371071488 title "Mixed Data Clustering Label Algorithm Based on User's Interest Domain" @default.
- W2371071488 hasPublicationYear "2013" @default.
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