GPU-Embedding of kNN-Graph Representing Large and High-Dimensional Data

Author:

Minch Bartosz,Nowak Mateusz,Wcisło Rafał,Dzwinel Witold

Publisher

Springer International Publishing

Reference23 articles.

1. Amid, E., Warmuth, M.K.: TriMap: Large-scale Dimensionality Reduction Using Triplets. arXiv preprint arXiv:1910.00204 (2019)

2. Cofaru, C.: Inverted file system with asymmetric distance computation for billion-scale approximate nearest neighbor search (2019). https://github.com/zgornel/IVFADC.jl/ . Accessed 20 Nov 2019

3. Fu, C., Yonghui Zhang, D.C., Ren, X.: Anchor-t-SNE for large-scale and high-dimension vector visualization. (2019). https://github.com/ZJULearning/AtSNE . Accessed 20 Nov 2019

4. Chan, D.M., Roshan Rao, F.H., Canny, J.F.: GPU accelerated t-distributed stochastic neighbor embedding. J. Parallel Distrib. Comput. 131, 1–13 (2019). https://github.com/CannyLab/tsne-cuda/ . Accessed 20 Nov 2019

5. Dzwinel, W., Blasiak, J.: Method of particles in visual clustering of multi-dimensional and large data sets. Future Gener. Comp. Syst. 15, 365–379 (1999)

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