Considerably Improving Clustering Algorithms Using UMAP Dimensionality Reduction Technique: A Comparative Study

Author:

Allaoui MebarkaORCID,Kherfi Mohammed LamineORCID,Cheriet AbdelhakimORCID

Publisher

Springer International Publishing

Reference18 articles.

1. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);RJGB Campello,2013

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3. Xiao, H., Rasul, K., Vollgraf, R.: Fashion-MNIST: a novel image dataset for benchmarking machine learning algorithms. arXiv preprint arXiv:1708.07747 (2017)

4. Alpaydin, E., Alimoglu, F.: Pen-based recognition of handwritten digits data set. University of California, Irvine. Machine Learning Repository. Irvine: University of California, 4(2) (1998)

5. Xu, D., Tian, Y.: A comprehensive survey of clustering algorithms. Annals of Data Science 2(2), 165–193 (2015). https://doi.org/10.1007/s40745-015-0040-1

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