A new semi-supervised clustering algorithm for probability density functions and applications
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-09404-0.pdf
Reference51 articles.
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3. Kaufmann L (1987) Clustering by means of medoids. In: Proc. Statistical Data Analysis Based on the L1 Norm Conference, Neuchatel, 1987, pp. 405–416
4. Delaigle A, Hall P, Pham T (2019) Clustering functional data into groups by using projections. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 81(2):271–304
5. Ghaffarian S, Ghaffarian S (2014) Automatic histogram-based fuzzy c-means clustering for remote sensing imagery. ISPRS J Photogramm Remote Sens 97:46–57
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