perClass Documentation
version 5.0 (21-sep-2016)

perClass User's Guide

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Chapter 1: Introduction[-]

Chapter 2: Installation[-]

Chapter 3: Getting Started[-]

Chapter 4: Labels[-]

Chapter 5: Data sets[-]

Chapter 6: Data visualization[-]

Chapter 7: Image visualization [-]

Chapter 8: Feature extraction[-]

Chapter 9: Handling nominal features[-]

Chapter 10: Interfacing databases[-]

Chapter 11: Pipelines[-]

Chapter 12: Dimensionality reduction and data representation[-]

Chapter 13: Classifiers[-]

Chapter 14: Performance evaluation[-]

Chapter 15: Classifier optimization with ROC Analysis[-]

Chapter 16: Detection and rejection[-]

Chapter 17: Classifier combining and cascades[-]

Chapter 18: Cluster analysis[-]

Chapter 19: Custom algorithms[-]

Chapter 20: Classifier deployment using perClass runtime library[-]

Chapter A: Pattern Recognition Resources[-]