Learning-Augmented K-Means Clustering Using Dimensional Reduction

Author:

Jabari Issam K.O1ORCID,Shofiyah Shofiyah1ORCID,Sugiharto Pradiptya Kahvi1ORCID,Putriwijaya Novi Nur1ORCID,Yudistira Novanto2ORCID

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

Reference21 articles.

1. [n. d.]. KDD Cup Datasets. Online. Available at https://osmot.cs.cornell.edu/kddcup/datasets.html. [n. d.]. KDD Cup Datasets. Online. Available at https://osmot.cs.cornell.edu/kddcup/datasets.html.

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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