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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 (73)
Similarity Measures (47)
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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
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