• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 939 matches

• 2021
• 
  Lirong Sun, Kaili Wang, Tomas Balezentis, Dalia Streimikiene, Chonghui Zhang:
  Extreme point bias compensation: A similarity method of functional clustering and its application to the stock market. Expert Syst. Appl. 164: 113949 (2021)
• 
  Seiki Ubukata, Akira Notsu, Katsuhiro Honda:
  Objective function-based rough membership C-means clustering. Inf. Sci. 548: 479-496 (2021)
• 2020
• 
  Alla Abdella, Ismail Uysal:
  A Statistical Comparative Study on Image Reconstruction and Clustering With Novel VAE Cost Function. IEEE Access 8: 25626-25637 (2020)
• 
  Chun-Hao Chen, Hsiang Chou, Tzung-Pei Hong, Yusuke Nojima:
  Cluster-Based Membership Function Acquisition Approaches for Mining Fuzzy Temporal Association Rules. IEEE Access 8: 123996-124006 (2020)
• 
  Wei Guo, Tao Zeng, Tao Huang, Yu-Dong Cai:
  Disease Cluster Detection and Functional Characterization. IEEE Access 8: 141958-141966 (2020)
• 
  Bhabani Shankar Prasad Mishra, Om Pandey, Satchidananda Dehuri, Sung-Bae Cho:
  Unsupervised Functional Link Artificial Neural Networks for Cluster Analysis. IEEE Access 8: 169215-169228 (2020)
• 
  Wenyi Zeng, Rong Ma, Qian Yin, Zeshui Xu:
  Similarity Measure of Hesitant Fuzzy Sets Based on Implication Function and Clustering Analysis. IEEE Access 8: 119995-120008 (2020)
• 
  Natarajan Meghanathan:
  Exploring the step function distribution of the threshold fraction of adopted neighbors versus minimum fraction of nodes as initial adopters to assess the cascade blocking intra-cluster density of complex real-world networks. Appl. Netw. Sci. 5(1): 97 (2020)
• 
  Feng Li, Shoumei Li, Thierry Denoeux:
  Combining clusterings in the belief function framework. Array 6: 100018 (2020)
• 
  Srinivas Chakravarty, Haydar Demirhan, Furkan Baser:
  Fuzzy regression functions with a noise cluster and the impact of outliers on mainstream machine learning methods in the regression setting. Appl. Soft Comput. 96: 106535 (2020)
• 
  Guannan Wang, Dong-Ha Oh, Maheshi Dassanayake:
  GOMCL: a toolkit to cluster, evaluate, and extract non-redundant associations of Gene Ontology-based functions. BMC Bioinform. 21(1): 139 (2020)
• 
  D. Rangaprakash, Toluwanimi Odemuyiwa, D. Narayana Dutt, Gopikrishna Deshpande:
  Density-based clustering of static and dynamic functional MRI connectivity features obtained from subjects with cognitive impairment. Brain Informatics 7(1): 19 (2020)
• 
  Yusuke Hayashi, Yukiko Washio:
  Text-Message Dependency, Executive Function, and Impulsivity in College Students: A Cluster Analysis. Cyberpsychology Behav. Soc. Netw. 23(11): 794-799 (2020)
• 
  Zhe Zhang, Xiyu Liu, Lin Wang:
  Spectral Clustering Algorithm Based on Improved Gaussian Kernel Function and Beetle Antennae Search with Damping Factor. Comput. Intell. Neurosci. 2020: 1648573:1-1648573:9 (2020)
• 
  Lei Cao, Jie Li, Yuanyuan Zhou, Yunhui Liu, Hao Liu:
  Automatic feature group combination selection method based on GA for the functional regions clustering in DBS. Comput. Methods Programs Biomed. 183 (2020)
• 
  Jen-Hao Chen, Yen-Chang Chang, Wen-Liang Hung:
  A self-organizing clustering algorithm for functional data. Commun. Stat. Simul. Comput. 49(5): 1237-1263 (2020)
• 
  Amandine Schmutz, Julien Jacques, Charles Bouveyron, Laurence Chèze, Pauline Martin:
  Clustering multivariate functional data in group-specific functional subspaces. Comput. Stat. 35(3): 1101-1131 (2020)
• 
  Andrew Lensen, Bing Xue, Mengjie Zhang:
  Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis. Evol. Comput. 28(4): 531-561 (2020)
• 
  Fernando Fontove, Gabriel del Rio:
  Residue Cluster Classes: A Unified Protein Representation for Efficient Structural and Functional Classification. Entropy 22(4): 472 (2020)
• 
  Hu Lu, Saixiong Liu, Hui Wei, Juanjuan Tu:
  Multi-kernel fuzzy clustering based on auto-encoder for fMRI functional network. Expert Syst. Appl. 159: 113513 (2020)
• 
  Alejandro Morales, Tom Froese:
  Unsupervised Learning Facilitates Neural Coordination Across the Functional Clusters of the C. elegans Connectome. Frontiers Robotics AI 7: 40 (2020)
• 
  Pierpaolo D'Urso, Jacek M. Leski:
  Fuzzy clustering of fuzzy data based on robust loss functions and ordered weighted averaging. Fuzzy Sets Syst. 389: 1-28 (2020)
• 
  Binay Subedi, Abeer Alsadoon, P. W. Chandana Prasad, Omar Hisham Alsadoon, Sami Haddad, Ahmad Alrubaie:
  A novel optimized initial cluster center and enhanced objective function: Medical diagnosis through classification. Health Informatics J. 26(1) (2020)
• 
  Jingqiu Ren, Ke Bao, Guanghua Zhang, Li Chu, Weidang Lu:
  LANDMARC indoor positioning algorithm based on density-based spatial clustering of applications with noise-genetic algorithm-radial basis function neural network. Int. J. Distributed Sens. Networks 16(2) (2020)
• 
  Wim De Mulder, Geert Molenberghs, Geert Verbeke:
  An interpretation of radial basis function networks as zero-mean Gaussian process emulators in cluster space. J. Comput. Appl. Math. 363: 249-255 (2020)
• 
  Sabuhi V. Badalov, René Wilhelm, Wolf Gero Schmidt:
  Photocatalytic properties of graphene-supported titania clusters from density-functional theory. J. Comput. Chem. 41(21): 1921-1930 (2020)
• 
  Jemal Yimer Damte, Zhan-Jun Zhu, Pin-Jun Lin, Chen-Hao Yeh, Jyh-Chiang Jiang:
  B, N-co-doped graphene-supported Ir and Pt clusters for methane activation and C─C coupling: A density functional theory study. J. Comput. Chem. 41(3): 194-202 (2020)
• 
  Huanyu Tao, Yanjun Zhang, Sheng-You Huang:
  Improving Protein-Peptide Docking Results via Pose-Clustering and Rescoring with a Combined Knowledge-Based and MM-GBSA Scoring Function. J. Chem. Inf. Model. 60(4): 2377-2387 (2020)
• 
  Dingkang Wang, Yusu Wang:
  An Improved Cost Function for Hierarchical Cluster Trees. J. Comput. Geom. 11(1): 283-331 (2020)
• 
  Joonpyo Kim, Hee-Seok Oh:
  Pseudo-quantile functional data clustering. J. Multivar. Anal. 178: 104626 (2020)

skipping 909 more matches