The Impact of Supervised Manifold Learning on Structure Preserving and Classification Error: A Theoretical Study

Keyphrases

• Structure Preservation 100%
• Supervised Manifold Learning 100%
• Misclassification Error 100%
• Structure Classification 100%
• Dissimilarity Measure 57%
• Learning Techniques 57%
• Distance Measure 14%
• Learning Approaches 14%
• Reduction Method 14%
• Classification Accuracy 14%
• T-distributed Stochastic Neighbor Embedding (t-SNE) 14%
• Breast Cancer 14%
• Dimensionality Reduction 14%
• Preprocessing Techniques 14%
• Kendall's tau Coefficient 14%
• High-dimensional Space 14%
• Matrix Rank 14%
• Isomap 14%
• Corank 14%
• Laplacian Eigenmaps 14%
• Unsupervised Manifold Learning 14%
• Classification Data 14%
• Manifold Learning 14%
• Swiss Roll 14%
• Two-dimensional Representation 14%
• Euclidean Distance 14%
• Manifold Learning Method 14%
• Neighborhood Structure 14%

Computer Science

• Learning Technique 100%
• Dissimilarity Measure 100%
• Theoretical Study 100%
• Classification Error 100%
• Data Structure 50%
• Learning Approach 25%
• Classification Accuracy 25%
• Good Performance 25%
• Dimensionality Reduction 25%
• Alternative Version 25%
• Neighborhood Structure 25%
• Laplace Operator 25%
• Euclidean Distance 25%
• Preprocessing Step 25%
• High Dimensional Space 25%