Computer Science ›› 2022, Vol. 49 ›› Issue (6A): 285-290.doi: 10.11896/jsjkx.210700042
• Big Data & Data Science • Previous Articles Next Articles
MAO Sen-lin, XIA Zhen, GENG Xin-yu, CHEN Jian-hui, JIANG Hong-xia
CLC Number:
| [1] YANG L,CAO X D,CHEN Y H,et al.Research on Integrated Application of Enterprise Distributed Database Based on MAS on CIAgent Platform[J].Journal of Intelligent Systems,2007(3):73-78. [2] LAOHAKIAT S,SA-ING V.An incremental density-basedclustering framework using fuzzy local clustering[J].Information Sciences,2021,547:404-426. [3] GOSAIN A,DAHIYA S.Performance analysis of various fuzzy clustering algorithms:a review[J].Procedia Computer Science,2016,79:100-111. [4] ASKARI S.Fuzzy C-Means clustering algorithm for data with unequal cluster sizes and contaminated with noise and outliers:Review and development[J/OL].Expert Systems with Applications,2021,165.https://www.sciencedirect.com/science/article/pii/S0957417420306679?via%3Dihub. [5] LIAO S Y,ZHANG J F,LIU A Q.Fuzzy C-means Clustering Algorithm Based on Fuzzy Entropy Constraint[J].Small Microcomputer System,2014,35(2):379-383. [6] LIU X Y,ZHANG X F,MA Y,et al.DTI Image Segmentation Algorithm Based on Improved Spatial Fuzzy Clustering[J].Chinese Journal of Biomedical Engineering,2018,37(4):394-403. [7] MEMON K H,MEMON S,QURESHI M A,et al.Kernel possibilistic fuzzy c-means clustering with local information for image segmentation[J].International Journal of Fuzzy Systems,2019,21(1):321-332. [8] CHEN H P,SHEN X J,LONG J W,et al.Fuzzy clustering algorithm for automatically determining the number of clusters[J].Electronic Journal,2017,45(3):687-694. [9] LEI X X,OUYANG H L,XU L J.Kernel-Distance-Based Intuitionistic Fuzzy c-Means Clustering Algorithm and Its Application[J].Pattern Recognition and Image Analysis,2019,29(S6):592-597. [10] TOLENTINO J A,GERARDO B D,MEDINA R P.Enhanced manhattan-based clustering using fuzzy C-means algorithm[C]//International Conference on Computing and Information Technology.Cham:Springer,2018:126-134. [11] GUEORGUIEVA N,VALOVA I,GEORGIEV G.M&MFCM:fuzzy c-means clustering with mahalanobis and minkowski distance metrics[J].Procedia Computer Science,2017,114:224-233. [12] CHAIRA,TAMALIKA.A novel intuitionistic fuzzy C meansclustering algorithm and its application to medical images[J].Applied Soft Computing,2011,11(2):1711-1717. [13] ZHU L,WANG S T,DENG Z H.Research on generalized fuzzy C-means clustering algorithm with improved fuzzy partitions[J].Journal of Computer Research and Development,2009,46(5):814. [14] SHI W F,SHANG L.Determining Clustering Number of FCM Algorithm Based on DTRS[J].Computer Science,2017,44(9):45-48,66. [15] TAO X,WANG R,CHANG R,et al.Spectral clustering algorithm using density-sensitive distance measure with global and local consistencies[J].Knowledge-Based Systems,2019,170:26-42. [16] QING M,SUN X M.A New Clustering Validity Function:FuzzyEntropy of Fuzzy Partition[J].Journal of Intelligent Systems,2015,10(1):75-80. [17] ZHANG S J,ZHAO H C.Study on the optimal number of clus-tering and the algorithm of selecting the initial clustering center point[J].Computer Application Research,2017,34(6):1617-1620. [18] WANG Z H,WANG S Y,DU H.An improved fuzzy C-means clustering algorithm based on density sensitive distance[J].Computer Engineering,2021,47(5):88-96,103. [19] FAN J L,WU C M.Clustering validity function based on fuzzy entropy[J].Pattern Recognition and Artificial Intelligence,2001,14(4):390-394. [20] RODRIGUEZ A,LAIO A.Clustering by fast search and find of density peaks[J/OL].Science,2014,344(6191).https://www.hindawi.com/journals/mpe/2017/5060842/. [21] ZHANG Q,CHEN H M,FENG Y F.Overlapping Community Detection Method Based on Rough Sets and Density Peaks[J].Computer Science,2020,47(5):72-78. [22] SHANG F H,JIAO L C,HI J R,et al.Fast affinity propagation clustering:A multilevel approach[J].Pattern Recognition,2011,45(1):474-486. [23] RAMIREZ E H,BRENA R,MAGATTI D,et al.Topic model validation[J].Neurocomputing,2011,76(1):125-133. |
| [1] | QIAO Ying-jing, GAO Bao-lu, SHI Rui-xue, LIU Xuan, WANG Zhao-hui. Improved FCM Brain MRI Image Segmentation Algorithm Based on Tamura Texture Feature [J]. Computer Science, 2021, 48(8): 111-117. |
| [2] | KANG Bo, PAN Xiao-dong, WANG Hu. Fuzzy Reasoning Method Based on Axiomatic Fuzzy Sets [J]. Computer Science, 2021, 48(11A): 57-62. |
| [3] | HU Shi-juan, LU Hai-yan, XIANG Lei, SHEN Wan-qiang. Fuzzy C-means Clustering Based Partheno-genetic Algorithm for Solving MMTSP [J]. Computer Science, 2020, 47(6): 219-224. |
| [4] | LI Hao-jun, ZHANG Zheng, ZHANG Peng-wei. Personalized Learning Resource Recommendation Method Based on Three-dimensionalFeature Cooperative Domination [J]. Computer Science, 2019, 46(6A): 461-467. |
| [5] | ZHANG Mao-yin, ZHENG Ting-ting, ZHENG Wan-rong. Interval-valued Intuitionistic Fuzzy Entropy Based on Exponential Weighting and Its Application [J]. Computer Science, 2019, 46(10): 229-235. |
| [6] | XIA Yang-bo, YANG Wen-zhong, ZHANG Zhen-yu, WANG Qing-peng, SHI Yan. Node Position Prediction Method for Mobile Wireless Sensor Networks [J]. Computer Science, 2018, 45(8): 113-118. |
| [7] | LI Shan-shan, CHEN Li, ZHANG Yong-xin and YUAN Ya-ting. Fuzzy Edge Detection Algorithm Based on RPCA [J]. Computer Science, 2018, 45(5): 273-279. |
| [8] | JIA Wei, HUA Qing-yi, ZHANG Min-jun, CHEN Rui, JI Xiang and WANG Bo. Mobile Interface Pattern Clustering Algorithm Based on Improved Particle Swarm Optimization [J]. Computer Science, 2018, 45(4): 220-226. |
| [9] | FAN Jian-ping, XUE Kun and WU Mei-qin. Cross Evaluation Method Based on Intuitionistic Fuzzy Entropy [J]. Computer Science, 2018, 45(2): 280-286. |
| [10] | JIA Juan-juan, JIA Fu-jie. Fuzzy C-means Color Image Segmentation Algorithm Combining Hill-climbing Algorithm [J]. Computer Science, 2018, 45(11A): 247-250. |
| [11] | LI Kai, GU Li-feng and HU Shao-fang. Regularized Fuzzy Twin Support Vector Machine [J]. Computer Science, 2017, 44(8): 260-264. |
| [12] | ZHU Chun, LI Lin-guo and GUO Jian. Fuzzy Clustering Image Segmentation Algorithm Based on Improved Cuckoo Search [J]. Computer Science, 2017, 44(6): 278-282. |
| [13] | GENG Yan-ping, GUO Xiao-ying, WANG Hua-xia, CHEN Lei and LI Xue-mei. MR Brain Image Segmentation Method Based on Wavelet Transform Image Fusion Algorithm and Improved FCM Clustering [J]. Computer Science, 2017, 44(12): 260-265. |
| [14] | XING Wen-kai, GAO Xue-xia, HOU Xiao-mao and ZHAI Ping. Research on Fuzzy Decoupling Energy Efficiency Optimization Algorithm in Cloud Computing Environment [J]. Computer Science, 2017, 44(12): 75-79. |
| [15] | WANG Qiong-zhi, ZHENG Wen-xi and WANG Dao-ran. Attribute Reduction Algorithm for Incomplete Information Systems Based on Approximate Fuzzy Entropy [J]. Computer Science, 2016, 43(Z6): 81-82. |
|
||
Home