Hierarchical Manifold Clustering on Diffusion Maps for Connectomics (MIT 18.S096 final project).
Gergely ÓdorPublished in: CoRR (2016)
Keyphrases
- diffusion maps
- manifold learning
- nonlinear dimensionality reduction
- dimensionality reduction
- semi supervised
- low dimensional
- clustering algorithm
- action classification
- unsupervised learning
- high dimensional data
- underlying manifold
- clustering method
- k means
- statistical learning
- data points
- high dimensionality
- data sets
- principal components analysis
- active learning
- action recognition
- bag of words
- distance metric
- information theoretic
- nearest neighbor