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	Mining Both Commonality and Specificity From Multiple Documents for Multi-Document Summarization 期刊论文 OAI收割 IEEE ACCESS, 2024, 卷号: 12, 页码: 54371-54381 作者: Ma, Bing \| 收藏 \| 浏览/下载：5/0 \| 提交时间：2024/05/20 Vectors Task analysis Feature extraction Natural languages Clustering algorithms Symmetric matrices Standards Class tree commonality and specificity hierarchical clustering of documents multi-document summarization pre-trained embedding representation
	Topic discovery of clusters from documents with geographical location 期刊论文 OAI收割 CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2015, 卷号: 27, 期号: 15, 页码: 4015-4038 作者: Zhang, Li; Sun, Xiaoping; Hai Zhuge \| 收藏 \| 浏览/下载：19/0 \| 提交时间：2019/12/13 topic model clustering textual document geographical location
	A three-phase approach to document clustering based on topic significance degree 期刊论文 OAI收割 Expert Systems with Applications, 2014, 卷号: 41, 期号: 18, 页码: 8203-8210 Ma, Yinglong (1); Wang, Yao (1); Jin, Beihong (2) \| 收藏 \| 浏览/下载：19/0 \| 提交时间：2014/12/16 Document clustering Topic model K-means K-means plus
	Text clustering using frequent itemsets 期刊论文 OAI收割 KNOWLEDGE-BASED SYSTEMS, 2010, 卷号: 23, 期号: 5, 页码: 379-388 作者: Zhang, Wen; Yoshida, Taketoshi; Tang, Xijin; Wang, Qing \| 收藏 \| 浏览/下载：18/0 \| 提交时间：2018/07/30 Document clustering Frequent itemsets Maximum capturing Similarity measure Competitive learning
	text clustering using frequent itemsets 期刊论文 OAI收割 Knowledge-based Systems, 2010, 卷号: 23, 期号: 5, 页码: 379-388 Zhang Wen; Yoshida Taketoshi; Tang Xijin; Wang Qing \| 收藏 \| 浏览/下载：18/0 \| 提交时间：2010/08/23 Document clustering Frequent itemsets Maximum capturing Similarity measure Competitive learning SEQUENCES
	一种优化初始中心点的K平均文本聚类算法期刊论文 OAI收割计算机应用, 2005, 卷号: 25, 期号: 9, 页码: 2037-2040 赵万磊; 王永吉; 张学杰; 李娟 \| 收藏 \| 浏览/下载：16/0 \| 提交时间：2010/08/17 优化文本聚类 K平均 optimize document clustering K-means