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	Browse All Reviews > Computing Methodologies (I) > Pattern Recognition (I.5) > Clustering (I.5.3)     Clustering (I.5.3) See Reviews     Subject Descriptors: Algorithms (74) Similarity Measures (47)   Proper Nouns: There are no proper nouns with reviews under I.5.3.     Reviews limited to: All General Terms Algorithms Design Documentation Economics Experimentation Human factors Languages Legal Aspects Management Measurement Performance Reliability Security Standardization Theory Verification     Reviews about "Clustering (I.5.3)": Date Reviewed  A fast approximate EM algorithm for joint models of survival and multivariate longitudinal data Murray J., Philipson P. Computational Statistics & Data Analysis 170(1): 1-15, 2022.  Type: Article May 4 2023 A new block matching algorithm based on stochastic fractal search Betka A., Terki N., Toumi A., Hamiane M., Ourchani A. Applied Intelligence 49(3): 1146-1160, 2019.  Type: Article May 8 2019 Improved analysis of complete-linkage clustering Gro&bgr;wendt A., Röglin H. Algorithmica 78(4): 1131-1150, 2017.  Type: Article Jul 31 2018 Scalable density-based clustering with quality guarantees using random projections Schneider J., Vlachos M. Data Mining and Knowledge Discovery 31(4): 972-1005, 2017.  Type: Article Oct 30 2017 A novel probabilistic clustering model for heterogeneous networks Deng Z., Xu X. Machine Learning 104(1): 1-24, 2016.  Type: Article Aug 31 2016 Sublinear algorithms for big data applications Wang D., Han Z., Springer International Publishing, New York, NY, 2015. 85 pp.  Type: Book (978-3-319204-47-5) Aug 24 2016  Semi-supervised hybrid clustering by integrating Gaussian mixture model and distance metric learning Zhang Y., Wen J., Wang X., Jiang Z. Journal of Intelligent Information Systems 45(1): 113-130, 2015.  Type: Article Jan 20 2016 more...
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