The Role of Local Intrinsic Dimensionality in Benchmarking Nearest Neighbor Search

Author:

Aumüller MartinORCID,Ceccarello MatteoORCID

Publisher

Springer International Publishing

Reference26 articles.

1. Alman, J., Williams, R.: Probabilistic polynomials and hamming nearest neighbors. In: FOCS 2015, pp. 136–150 (2015)

2. Amsaleg, L., et al.: Estimating local intrinsic dimensionality. In: KDD 2015, pp. 29–38. ACM (2015)

3. Amsaleg, L., Chelly, O., Houle, M.E., Kawarabayashi, K.I., Radovanović, M., Treeratanajaru, W.: Intrinsic dimensionality estimation within tight localities. In: Proceedings of the 2019 SIAM International Conference on Data Mining, pp. 181–189. SIAM (2019)

4. LNCS;M Aumüller,2017

5. Aumüller, M., Ceccarello, M.: Benchmarking nearest neighbor search: influence of local intrinsic dimensionality and result diversity in real-world datasets. In: 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2019) (2019). https://imada.sdu.dk/Research/EDML/

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