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Methodology
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Classroom Contents
John Harer - Topological Data Analysis and Machine Learning
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- 1 Intro
- 2 Methodology
- 3 Transformer Examples
- 4 Dimension Reduction
- 5 Sliding Windows (Delay Reconstruction) Jose Perea
- 6 Community Accepted Features Chris Traile
- 7 Extractors
- 8 Binning
- 9 Syzygy Coordinates
- 10 Machine Learning with Persistence Example 1: Classification from Local Information
- 11 Multi-Scale Local PCA
- 12 Multi-Scale Local Shape Analysis
- 13 Machine Learning with Persistence Example 2: Topological Tracker
- 14 Machine Learning on Diagrams
- 15 Persistence Features
- 16 Comparison of Feature Selections
- 17 Sorting and Grabbing
