Feature Extraction §

Group: 5 #group-5

Relations §

• Clustering: Clustering can be used for feature extraction by identifying the most representative features of each cluster.
• Computer Vision: Feature Extraction is the process of identifying and extracting relevant visual features from images for further analysis.
• Convolutional Neural Networks: Convolutional Neural Networks automatically learn to extract relevant features from input data
• Feature Engineering: Feature extraction techniques are used to derive new features from existing ones.