sklearn2 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. AI study : Linear Regression / AI 스터디 : 선형회귀모델 This semester, I participate in an AI study team as a team leader, which requires a deep dive into the course textbook material. My goal as a team leader is to grasp the key concepts in the textbook and explain them clearly to my team. 이번 학기 AI 스터디에서 조장으로 활동하게 되었는데, 그에 따라 교재 내용을 완벽히 파악해야한다는 의무감이 들어 해당 포스팅을 작성한다. I will analyze the steps of the Linear Regression algorithm to learn how it works. 선.. 2024. 4. 5. 이전 1 다음
