NSL OpenIR  > 中国科学院文献情报中心(北京)
基于均值漂移算法的文本聚类数目优化研究
赵华茗; 余丽; 周强
2019-10
Source Publication数据分析与知识发现
Volume33Issue:9Pages:27-35
Indexed ByCSCD
Language中文
Citation statistics
Document Type期刊论文
Identifierhttp://ir.las.ac.cn/handle/12502/10557
Collection中国科学院文献情报中心(北京)
Corresponding Author赵华茗
Affiliation中国科学院文献情报中心
First Author Affilication中国科学院文献情报中心
Corresponding Author Affilication中国科学院文献情报中心
Recommended Citation
GB/T 7714
赵华茗,余丽,周强. 基于均值漂移算法的文本聚类数目优化研究[J]. 数据分析与知识发现,2019,33(9):27-35.
APA 赵华茗,余丽,&周强.(2019).基于均值漂移算法的文本聚类数目优化研究.数据分析与知识发现,33(9),27-35.
MLA 赵华茗,et al."基于均值漂移算法的文本聚类数目优化研究".数据分析与知识发现 33.9(2019):27-35.
Files in This Item: Download All
File Name/Size DocType Version Access License
2019-基于均值漂移算法的文本聚类数目(1476KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[赵华茗]'s Articles
[余丽]'s Articles
[周强]'s Articles
Baidu academic
Similar articles in Baidu academic
[赵华茗]'s Articles
[余丽]'s Articles
[周强]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[赵华茗]'s Articles
[余丽]'s Articles
[周强]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 2019-基于均值漂移算法的文本聚类数目优化研究.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.