Learning-Augmented K-Means Clustering Using Dimensional Reduction
Author:
Affiliation:
1. intelligent system lab of faculty of computer science, Universitas Brawijaya, Indonesia
2. intelligent system lab of faculty of computer science, Universitas Brawijaya, Indochina
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3626641.3627239
Reference21 articles.
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2. A. Abdulhafedh. 2021. Incorporating K-means Hierarchical Clustering and PCA in Customer Segmentation. (2021). A. Abdulhafedh. 2021. Incorporating K-means Hierarchical Clustering and PCA in Customer Segmentation. (2021).
3. Community detection in dynamic social networks: A game-theoretic approach
4. B. Bezděková. 2021. Using Principal Component Analysis to Characterize the Variability of VLF Wave Intensities Measured by a Low‐Altitude Spacecraft and Caused by Interplanetary Shocks. Journal of Geophysical Research: Space Physics (2021). B. Bezděková. 2021. Using Principal Component Analysis to Characterize the Variability of VLF Wave Intensities Measured by a Low‐Altitude Spacecraft and Caused by Interplanetary Shocks. Journal of Geophysical Research: Space Physics (2021).
5. Stefano Ceri Piero Fraternali Aldo Bongio Marco Brambilla Sara Comai and Maristella Matera. 2003. Morgan Kaufmann series in data management systems: Designing data-intensive Web applications. Morgan Kaufmann. Stefano Ceri Piero Fraternali Aldo Bongio Marco Brambilla Sara Comai and Maristella Matera. 2003. Morgan Kaufmann series in data management systems: Designing data-intensive Web applications. Morgan Kaufmann.
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