PCA1 Enhance K-Means Clustering Performance with PCA! / K-평균 알고리즘에 PCA 활용하기! While K-Means Clustering is a popular choice, it can sometimes struggle with high-dimensional datasets. PCA can be a valuable tool in such cases, as it helps us focus on the most important factors and improve the algorithm's efficiency. As can be seen in the figure above, K-Means Clustering wasn't able to effectively group data points in my dataset. To address this, I implemented Principal Compo.. 2024. 5. 29. 이전 1 다음
