Recognizing Patterns in High-Dimensional Data: Automated Histogram Filtering for Protein Structure Elucidation.
Janine ImadaPaul ChapmanStuart M. RothsteinPublished in: HPCS (2005)
Keyphrases
- high dimensional data
- protein structure
- dimensionality reduction
- low dimensional
- nearest neighbor
- high dimensional
- high dimensionality
- data points
- data sets
- protein structure prediction
- subspace clustering
- protein sequences
- low dimensional structure
- data analysis
- molecular biology
- clustering high dimensional data
- secondary structure
- similarity search
- high dimensional spaces
- high dimensional datasets
- contact map
- dimensional data
- nuclear magnetic resonance
- amino acid sequences
- protein function
- protein tertiary structure
- text data
- manifold learning
- input data
- database
- high dimensional data sets
- pattern mining
- principal component analysis
- data mining techniques