Hierarchy of probabilistic principal component subspaces for data mining

Keyphrases

• Principal Subspace 100%
• Visualization Algorithms 100%
• Probabilistic Principal Components 100%
• Three-dimensional (3D) 50%
• Synthetic Data 50%
• High-dimensional Space 50%
• Multiple Use 50%
• Complete Data 50%
• Complex Data 50%
• Expectation Maximization 50%
• Information Theoretic Criteria 50%
• Principal Components Artificial Neural Networks (PC-ANN) 50%
• Hierarchical Visualization 50%
• Multivariate Data Mining 50%
• Top Level 50%
• Visual Exploration 50%
• Finite Normal Mixture Model 50%

Mathematics

• Principal Components 100%
• Data Mining 100%
• Neural Network 33%
• Dimensional Space 33%
• Data Point 33%
• Synthetic Data 33%
• Multivariate Data 33%
• Data Space 33%
• Mixture Model 33%
• Complete Data 33%

Computer Science

• Principal Components 100%
• Data Mining 100%
• Neural Network 33%
• Synthetic Data 33%
• Dimensional Space 33%
• Multivariate Data 33%
• Visual Exploration 33%