Classification methods for Hilbert data based on surrogate density.
Enea G. BongiornoAldo GoiaPublished in: Comput. Stat. Data Anal. (2016)
Keyphrases
- statistical methods
- data sets
- classification systems
- high dimensional data
- data collection
- data analysis
- data processing
- data mining techniques
- benchmark datasets
- data mining methods
- noisy data
- training data
- raw data
- human experts
- data reduction
- feature selection
- missing values
- data mining
- machine learning methods
- classification method
- cross validation
- classification decisions
- statistical analysis
- preprocessing
- support vector machine svm
- training samples
- significant improvement
- statistical tests
- image data
- classification models
- data quality
- knowledge discovery
- data structure
- bayesian methods
- feature subset
- classification accuracy
- machine learning algorithms
- support vector machine
- image classification
- input data
- spatial data
- database