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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 (69)
Similarity Measures (47)
 
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Reviews about "Clustering (I.5.3)":
Date Reviewed
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
Growendt 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
An improved data characterization method and its application in classification algorithm recommendation
Wang G., Song Q., Zhu X.  Applied Intelligence 43(4): 892-912, 2015. Type: Article
Jan 20 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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