Learning-Augmented K-Means Clustering Using Dimensional Reduction
Issam K.O Jabari, Shofiyah Shofiyah, Pradiptya Kahvi Sugiharto, Novi Nur Putriwijaya, Novanto Yudistira · 2023
Learning augmented is a machine learning concept built to improve the performance of a method or model, such as enhancing its ability to predict and generalize data or features, or testing the reliability of the method by introducing noise and other factors. On the other hand, clustering is a fundamental aspect of data analysis and has long been used to understand the structure of large datasets. Despite its long history, the k-means algorithm still faces challenges.