[1]谷飞洋,田博,张思萌,等.基于置换检验的聚类结果评估[J].智能系统学报编辑部,2016,11(3):301-309.[doi:10.11992/tis.201603038]
 GU Feiyang,TIAN Bo,ZHANG Simeng,et al.Statistical evaluation of the clustering results based on permutation test[J].CAAI Transactions on Intelligent Systems,2016,11(3):301-309.[doi:10.11992/tis.201603038]
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基于置换检验的聚类结果评估

参考文献/References:
[1] TAN Pangning, STEINBACH M, KUMAR V. Introduction to data mining[M]. Boston: Addison-Wesley, 2005.
[2] HAN Jiawei, KAMBER M, PEI Jian. Data mining: concepts and techniques[M]. 3rd ed. Burlington, MA, USA: Elsevier, 2012: 1-33.
[3] 尹宏伟, 李凡长. 谱机器学习研究综述[J]. 计算机科学与探索, 2015, 9(12): 1409-1419. YIN Hongwei, LI Fanzhang. Survey on spectral machine learning[J]. Journal of frontiers of computer science and technology, 2015, 9(12): 1409-1419.
[4] JAIN A K, MURTY M N, FLYNN P J. Data clustering: a review[J]. ACM computing surveys, 1999, 31(3): 264-323.
[5] WU Xindong, KUMAR V, QUINLAN J R, et al. Top 10 algorithms in data mining[J]. Knowledge and information systems, 2008, 14(1): 1-37.
[6] HALKIDI M, BATISTAKIS Y, VAZIRGIANNIS M. On clustering validation techniques[J]. Journal of intelligent information systems, 2001, 17(2-3): 107-145.
[7] HANDL J, KNOWLES J, KELL D B. Computational cluster validation in post-genomic data analysis[J]. Bioinformatics, 2005, 21(15): 3201-3212.
[8] KONTONASIOS K N, VREEKEN J, DE BIE T. Maximum entropy modelling for assessing results on real-valued data[C]//Proceedings of the 11th international conference on data mining. Vancouver, BC, Canada, 2011: 350-359.
[9] OJALA M. Assessing data mining results on matrices with randomization[C]//Proceedings of international conference on data mining. Sydney, Australia, 2010: 959-964.
[10] OJALA M, VUOKKO N, KALLIO A, et al. Randomization methods for assessing data analysis results on real-valued matrices[J]. Statistical analysis and data mining, 2009, 2(4): 209-230.
[11] LIU Yufeng, HAYES D N, NOBEL A, et al. Statistical significance of clustering for high-dimension, low-sample size data[J]. Journal of the American statistical association, 2008, 103(483): 1281-1293.
[12] PARK P J, MANJOURIDES J, BOONETTI M, et al. A permutation test for determining significance of clusters with applications to spatial and gene expression data[J]. Computational statistics & data analysis, 2009, 53(12): 4290-4300.
[13] 张刚, 刘悦, 郭嘉丰, 等. 一种层次化的检索结果聚类方法[J]. 计算机研究与发展, 2008, 45(3): 542-547.ZHANG Gang, LIU Yue, GUO Jiafeng, et al. A Hierarchical search result clustering method[J]. Journal of computer research and development, 2008, 45(3): 542-547.
[14] KNIJNENBURG T A, WESSELS L F A, REINDERS M J T, et al. Fewer permutations, more accurate p-values[J]. Bioinformatics, 2009, 25(12): i161-i168.
[15] ASUNCION A, NEWMAN D J. UCI machine learning repository[EB/OL]. 2007. http://archive.ics.uci.edu/ml/.
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备注/Memo

收稿日期:2016-3-19;改回日期:。
基金项目:国家自然科学基金项目(61572094).
作者简介:谷飞洋,男,1991年生,硕士研究生,主要研究方向是数据挖掘和生物信息。田博,女,1992年生,硕士研究生,主要研究方向为数据挖掘和生物信息。何增有,男,1976年生,副教授,主要研究方向为数据挖掘和生物信息学,学术论文均发表在该领域的顶级期刊或会议上,出版学术专著1部。
通讯作者:何增有.E-mail:zyhe@dlut.edu.cn.

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