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Semi-supervised Document Clustering Based on Latent Dirichlet Allocation (LDA)

QIN Yong-bin LI Jie HUANG Rui-zhang LI Jing

东华大学学报（英文版）2016，Vol.33Issue(5)：685-688,4.

Semi-supervised Document Clustering Based on Latent Dirichlet Allocation (LDA)

QIN Yong-bin ¹LI Jie ¹HUANG Rui-zhang ¹LI Jing¹

作者信息

1. College of Computer Science and Technology, Guizhou University, Guiyang 550025, China
折叠

摘要

关键词

latent Dirichlet allocation (LDA)/semi-supervised learning/document clustering

Key words

latent Dirichlet allocation (LDA)/semi-supervised learning/document clustering

分类

信息技术与安全科学

引用本文复制引用

QIN Yong-bin,LI Jie,HUANG Rui-zhang,LI Jing..Semi-supervised Document Clustering Based on Latent Dirichlet Allocation (LDA)[J].东华大学学报（英文版）,2016,33(5):685-688,4.

基金项目

National Natural Science Foundations of China (Nos.61262006,61462011,61202089) （Nos.61262006,61462011,61202089）

the Major Applied Basic Research Program of Guizhou Province Project,China (No.JZ20142001) （No.JZ20142001）

the Science and Technology Foundation of Guizhou Province Project,China (No.LH20147636) （No.LH20147636）

the National Research Foundation for the Doctoral Program of Higher Education of China (No.20125201120006) （No.20125201120006）

the Graduate Innovated Foundations of Guizhou University Project,China (No.2015012) （No.2015012）

东华大学学报（英文版）

ISSN：1672-5220

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