This unit introduces Linear Discriminant Analysis (LDA), a dimensionality reduction technique that finds the directions that best separate different classes of data. Students will learn the mathematical foundations of LDA and how to apply it to real-world problems. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

• What is Unsupervised Learning?
• Types of Unsupervised Learning
• K-Means Clustering
• Hierarchical Clustering
• Principal Component Analysis (PCA)
• One-Class Support Vector Machines (OC-SVMs)
• Isolation Forests