Clustering on the d-Dimensional Sphere: Latest Trends and the Role of Poisson Kernel-Based Density Models

Author:

Markatou Marianthi

Publisher

Springer Nature Switzerland

Reference20 articles.

1. Banerjee, A., Dhillon, I.S., Ghosh, J., Sra, S.: Clustering on the unit hypersphere using von mises-fisher distributions. J. Mach. Learn. Res. 6, 1345–1382 (2005)

2. Biernacki, C., Celeux, G., Govaert, G.: Assessing a mixture model for clustering with the integrated completed likelihood. IEEE Trans. Pattern Anal. Mach. Intell. 22, 719–725 (2000)

3. Bijral, A.S., Breitenbach, M., Grudic, G.: Mixture of Watson distributions: A generative model for hyperspherical embeddings. In: Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics. Proceedings of Machine Learning Research, vol. 2, pp. 35–42 (2007)

4. Dey, S., Jana, N.: Inference on parameters of Watson distributions and application to classification of observations. J. Comput. Appl. Math. 403, 113847 (2022)

5. Dhillon, I.S., Modha, D.S.: Concept decompositions for large sparse text data using clustering. Mach. Learn. 42, 143–175 (2001)

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