Research on Statistical Characteristics of Chinese Language Network and Semi-Supervised Document Clustering Algorithm-Reference-Cited by-同舟云学术

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Research on Statistical Characteristics of Chinese Language Network and Semi-Supervised Document Clustering Algorithm

Published:2024-05-17 Issue: Volume:37 Page:1-4
ISSN:
Container-title:2024 Second International Conference on Data Science and Information System (ICDSIS)
language:
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Author:

Lu Shanshan¹

Affiliation:

1. Yunnan College of Business Management Kunming City of Yunnan Province,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10593798/10594006/10594279.pdf?arnumber=10594279

Reference10 articles.

1. Research and application of clustering algorithm of active semi-supervised Gaussian mixed model;Yao,2018

2. Semi-supervised adaptive multi-density text clustering algorithm based on suffix tree[J];Ping;Journal of Chinese Computer Systems,2016

3. Derivation Method for Document-Sensitive Information Based on Semi-supervised Clustering [J];Yingbin;Computer Science,2015

4. Semi-supervised non-negative matrix factorization algorithm and its application in text clustering;Dragon,2012

5. Research on Web text mining method for information retrieval;Han,2012

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