Research on mixed attribute data clustering method based on generalized linear modelrevokeChinese Full Text
PAN Ji-cai;Institute of Scientific and Technical Information of China;
Abstract: Regarding the problem of high difficulty in clustering mixed attribute data, a clustering method for mixed attribute data based on generalized linear model is proposed. Firstly, a low-order multivariate generalized linear model is constructed to deal with the massive data clustering problem, and the attribute time series matrix was obtained considering the time characteristics of data attributes. Then, considering the distance between the sample and the cluster center and the information content... More
Keywords：
generalized linear model; mixed attributes; time series matrix; K-prototypes clustering; iteration;
- DOI：
10.13274/j.cnki.hdzj.2021.08.002
- Series：
(I) Electronic Technology ＆ Information Science
- Subject：
Computer Software and Application of Computer
- Classification Code：
TP311.13
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