Knowledge-Guided Bayesian Support Vector Machine for High-Dimensional Data with Application to Analysis of Genomics Data.
Wenli SunChanggee ChangYize ZhaoQi LongPublished in: IEEE BigData (2018)
Keyphrases
- high dimensional data
- data analysis
- data sets
- original data
- complex data
- data distribution
- data points
- nearest neighbor
- dimensionality reduction
- training data
- input space
- low dimensional
- raw data
- knowledge discovery
- high dimensional
- support vector machine
- high dimensionality
- high dimensions
- dimensional data
- dimension reduction
- data structure
- nonlinear dimensionality reduction
- input data
- missing values
- database
- computer vision
- subspace clustering
- image data
- high dimensional datasets
- similarity search
- lower dimensional
- high dimensional spaces
- training set
- pattern recognition