Computer Science ›› 2021, Vol. 48 ›› Issue (1): 136-144.doi: 10.11896/jsjkx.200700213
• Database & Big Data & Data Science • Previous Articles Next Articles
LIANG Wei1,2, DUAN Xiao-dong1, XU Jian-feng1,3,4
CLC Number:
[1] HUANG D,LAI J H,WANG C D.Combining multiple cluste-rings via crowd agreement estimation and multi-granularity link analysis[J].Neurocomputing,2015,170:240-250. [2] ZHOU Z H.Ensemble Methods-Foundations and Algorithms [M].Taylor&Francis,2013,81(3):470-470. [3] TOPCHY A,JAIN A K,PUNCH W.Clustering ensembles:models of consensus and weak partitions[J].IEEE Transactions on Pattern Analysis & Machine Intelligence,2005,27(12):1866-1881. [4] STREHL A,GHOSH J.Cluster ensembles:A knowledge reuse framework for combining multiple partitions.[J].Journal of Machine Learning Research,2002,3(12):583-617. [5] FRED A L,JAIN A K.Combining multiple clusterings using evi-dence accumulation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2005,27(6):835-850. [6] FERN X Z,BRODLEY C E.Random projection for high dimensional data clustering:A cluster ensemble approach[C]//Proceedings of 20th International Conference on Machine Learning.2003:186-193. [7] APPROACH C E,FERN X Z,BRODLEY C E.Random Projection for High Dimensional Data Clustering[C]//Twentieth International Conference on International Conference on Machine Learning.AAAI Press,2003. [8] MINAEIBIDGOLI B,TOPCHY A,PUNCH W F.Ensembles of partitions via data resampling[C]//International Conference on Information Technology:Coding & Computing.IEEE Computer Society,2004. [9] DUDOIT S,FRIDLYAND J.Bagging to improve the accuracy of a clustering procedure[J].Bioinformatics,2003,19(9):1090-1099. [10] YANG Y,JIANG J.Hybrid sampling-based clustering ensemble with global and local constitutions[J].IEEE Transactions on Neural Networks and Learning Systems,2016,27(5):952-965. [11] ZHOU P,DU L,SHI L,Wang H,et al.Learning a robust consensus matrix for clustering ensemble via kullback-leibler divergence minimization[C]//Proc.the 25th International Joint Conference on Artificial Intelligence.2015. [12] YU Z,LUO P,YOU J,et al.Incremental semi-supervised clustering ensemble for high dimensional data clustering[J].IEEE Transactions on Knowledge and Data Engineering,2016,28(3):701-714. [13] YU Z,LI L,LIU J,et al.Adaptive noise immune cluster ensemble using affinity propagation[J].IEEE Transactions on Know-ledge and Data Engineering,2015,27(12):3176-3189. [14] FROUZAN R,SAMAD N,HAMID P,et al.Dibversity Based Cluster Weighting In Cluster Ensemble:An Information Theory Approach.[J].Artificial Intelligence Review,2019,52(2):1341-1368. [15] WANG T. CA-Tree:A hierarchical structure for efficient and scalable coassociation-based cluster ensembles[J].IEEE Transactions on Systems,Man,and Cybernetics,Part B:Cybernetics,2011,41(3):686-698. [16] TUMER K,AGOGINO A K.Ensemble clustering with voting active clusters[J].Pattern Recognition Letters,2008,29(14):1947-1953. [17] HUANG D,WANG C D,LAI J H.Locally Weighted Ensemble Clustering[J].IEEE Transactions on Cybernetics,2016,48(5):1460-1473. [18] HONG Y,YUN C,PAWAN L,et al.A three-way cluster ensemble approach for large-scale data[J].International Journal of Approximate Reasoning,2019,115:32-49. [19] KANG Q,LIU S Y,ZHOU M C,et al.A weight-incorporated similarity-based clustering ensemble method based on swarm intelligence[J].Knowledge Based Systems,2016,104(Jul):156-164. [20] LIANG W,ZHANG Y J,XU J F,et al.Optimization of Basic Clustering for Ensemble Clustering:An Information-Theoretic Perspective[J].IEEE Access,2019,7:179048-179062. [21] HUANG D,WANG C,PENG H,et al.Enhanced ensemble clus-tering via fast propagation of cluster-wise similarities[J].IEEE Trans.Syst.Man,Cybern.,Syst.2019,11:1-12. [22] PARVIN H AND MINAEI-BIDGOLI B.A clustering ensemble framework based on selection of fuzzy weighted clusters in a locally adaptive clustering algorithm[J].Pattern Anal.Appl.,2015,18(1):87-112. [23] SONG J H.Research on clustering integration algorithm [D].Harbin:Harbin Engineering University,2015. [24] NIWATTANAKUL S,SINGTHONGCHAI J,NAENUDO-RNE,et al.Using of Jaccard Coefficient for Keywords Similarity[C]//Iaeng International Conference on Internet Computing & Web Services.International Association of Engineers,2013. [25] IAM-ON N,BOONGEON T,GARRETT S,et al.A Link-Based Cluster Ensemble Approach for Categorical Data Clustering[J].IEEE Transactions on Knowledge and Data Engineering,2012,24(3):413-425. [26] LUO H L,KONG F S,LI Y X.An Analysis of Diversity Mea-sures in Clustering Ensembles[J].Chinese Journal of Compu-ters,2007,30(8):1315-1324. [27] NATTHAKAN I,GARRETT S.LinkCluE:A MATLAB pac-kage for link based cluster ensembles[J].Stat.Softw.,2010,36(9):1-36. [28] PARVIN H,MINAEI-BIDGOLI B.A clustering ensembleframework based on elite selection of weighted clusters[J].Adv.Data Anal.Classification,2013,7(2):181-208. [29] YU Z,LUO P,YOU J,et al.Incremental semi-supervised clustering ensemble for high dimensional data clustering[J].IEEE Trans.Knowl.Data Eng.2016,28(3):701-714. [30] FERN X,BRODLEY C.Solving cluster ensemble problems by bipartite graph partitioning[C]//Proc.Int.Conf.Mach.Learn.,2004:36. [31] DOMENICONI C,AL-RAZGAN M.Weighted cluster ensem-bles:Methods and analysis[J].ACM Trans.Knowl.Discovery Data,2009:2-17. [32] HUANG D,LAI J,WANG C.Robust ensemble clustering using probability trajectories[J].IEEE Trans.Knowl.Data Eng.,2016,28(5):1312-1326. [33] GREENE D,TSYMBAL A,BOLSHAKOVA N,et al.Ensemble Clustering in Medical Diagnostics[C]//17th IEEE Symposium on Computer-Based Medical Systems,2004(CBMS 2004).IEEE,2004. [34] HADJITODOROV S T,KUNCHEVA L I,TODOROVA L P. Moderate diversity for better cluster ensembles[J].Information Fusion,2006,7(3):268-275. [35] YAO Y.Decision-theoretic rough set models[C]//International Conference on Rough Sets and Knowledge Technology.Springer-Verlag,2007:1-12. [36] QIAN Y H,ZHANG H,SANG Y L,et al.Multi-granulation decision theoretic rough sets[J].International Journal of Approximate Reasoning,2014,55(1):225-237. [37] MIAO D,XU F,YAO Y,et al.Set theory description of particle calculation[J].Journal of Computer,2012,35 (2):351-363. [38] ABUALIGAH L M,KHADER A T,AL-BETAR M A,et al.Text feature selection with a robust weight scheme and dynamic dimension reduction to text document clustering[J].Expert Systems with Applications,2017,84:24-36. [39] STREHL A,GHOSH J. Cluster ensembles:A knowledge reuse framework for combining multiple partitions[J].Journal of Machine Learning Research,2003,3(12):583-617. [40] LU Z,PENG Y,IP H H S.Combining multiple clusterings using fast simulated annealing.[J].Pattern Recognition Letters,2011,32(15):1956-1961. |
[1] | WANG Zhi-cheng, GAO Can, XING Jin-ming. Three-way Approximate Reduction Based on Positive Region [J]. Computer Science, 2022, 49(4): 168-173. |
[2] | ZHANG Shi-peng, LI Yong-zhong. Intrusion Detection Method Based on Denoising Autoencoder and Three-way Decisions [J]. Computer Science, 2021, 48(9): 345-351. |
[3] | WANG Zheng, JIANG Chun-mao. Cloud Task Scheduling Algorithm Based on Three-way Decisions [J]. Computer Science, 2021, 48(6A): 420-426. |
[4] | XIN Xian-wei, SHI Chun-lei, HAN Yu-qi, XUE Zhan-ao, SONG Ji-hua. Incremental Tag Propagation Algorithm Based on Three-way Decision [J]. Computer Science, 2021, 48(11A): 102-105. |
[5] | XUE Zhan-ao, ZHANG Min, ZHAO Li-ping, LI Yong-xiang. Variable Three-way Decision Model of Multi-granulation Decision Rough Sets Under Set-pair Dominance Relation [J]. Computer Science, 2021, 48(1): 157-166. |
[6] | CHEN Yu-jin, XU Ji-hui, SHI Jia-hui, LIU Yu. Three-way Decision Models Based on Intuitionistic Hesitant Fuzzy Sets and Its Applications [J]. Computer Science, 2020, 47(8): 144-150. |
[7] | SHAO Chao and MA Jin-Jia. Selective Clustering Ensemble Based on Xie-Beni Index [J]. Computer Science, 2020, 47(6A): 457-460. |
[8] | XIANG Wei, WANG Xin-wei. Imbalance Data Classification Based on Model of Multi-class Neighbourhood Three-way Decision [J]. Computer Science, 2020, 47(5): 103-109. |
[9] | LI Yan, ZHANG Li, CHEN Jun-fen. Attribute Reduction Method Based on Sequential Three-way Decisions in Dynamic Information Systems [J]. Computer Science, 2019, 46(6A): 120-123. |
[10] | XUE Zhan-ao, HAN Dan-jie, LV Min-jie, ZHAO Li-ping. New Three-way Decisions Model Based on Granularity Importance Degree [J]. Computer Science, 2019, 46(2): 236-241. |
[11] | LI Yan, ZHANG Li, WANG Xue-jing, CHEN Jun-fen. Attribute Reduction for Sequential Three-way Decisions Under Dominance-Equivalence Relations [J]. Computer Science, 2019, 46(2): 242-148. |
[12] | GUO Dou-dou, JIANG Chun-mao. Multi-stage Regional Transformation Strategy in Move-based Three-way Decisions Model [J]. Computer Science, 2019, 46(10): 279-285. |
[13] | XU Jian-feng, HE Yu-fan, LIU Lan. Relationship and Reasoning Study for Three-way Decision Cost Objective Functions [J]. Computer Science, 2018, 45(6): 176-182. |
[14] | CHEN Yu-jin, LI Xu-wu, XING Rui-kang. Three-way Decisions Model Based on Evidence Theory [J]. Computer Science, 2018, 45(6): 241-246. |
[15] | XUE Zhan-ao, XIN Xian-wei, YUAN Yi-lin and LV Min-jie. Study on Three-way Decisions Based on Intuitionistic Fuzzy Probability Distribution [J]. Computer Science, 2018, 45(2): 135-139. |
|