A Noise Resistant Credibilistic Fuzzy Clustering Algorithm on a Unit Hypersphere with Illustrations Using Expression Data-Reference-Cited by-同舟云学术

A Noise Resistant Credibilistic Fuzzy Clustering Algorithm on a Unit Hypersphere with Illustrations Using Expression Data

Published:2022-09-14 Issue: Volume: Page:564-590
ISSN:2367-4512
Container-title:Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making
language:
Short-container-title:

Author:

Hu Zhengbing^ORCID,Last Mark^ORCID,Hong Tzung-Pei^ORCID,Tyshchenko Oleksii K.^ORCID,Kashyap Esha^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-16203-9_32

Reference32 articles.

1. Babichev, S., Skvor, J., Fiser, J., Lytvynenko, V.: Technology of gene expression profiles filtering based on wavelet analysis. Int. J. Intell. Syst. Appl. (IJISA) 10(4), 1–7 (2018). https://doi.org/10.5815/ijisa.2018.04.01

2. Banerjee, A., Dhillon, I.S., Ghosh, J., Sra, S., Ridgeway, G.: Clustering on the unit hypersphere using von mises-fisher distributions. J. Mach. Learn. Res. 6(9), 1345–1382 (2005)

3. Banerjee, A., Ghosh, J.: Frequency sensitive competitive learning for clustering on high-dimensional hyperspheres. In: Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN 2002 (Cat. No. 02CH37290), vol. 2, pp. 1590–1595. IEEE (2002). https://doi.org/10.1109/IJCNN.2002.1007755

4. Banerjee, A., Ghosh, J.: Frequency-sensitive competitive learning for scalable balanced clustering on high-dimensional hyperspheres. IEEE Trans. Neural Netw. 15(3), 702–719 (2004). https://doi.org/10.1109/TNN.2004.824416

5. Benjamin, J.B., Hussain, I., Yang, M.S.: Possiblistic c-means clustering on directional data. In: 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), pp. 1–6. IEEE (2019). https://doi.org/10.1109/CISP-BMEI48845.2019.8965703