Improving data splitting for classification applications in spectrochemical analyses employing a random-mutation Kennard-Stone algorithm approach.
Camilo L. M. MoraisMarfran C. D. SantosKássio M. G. LimaFrancis L. MartinPublished in: Bioinform. (2019)
Keyphrases
- data reduction
- classification algorithm
- preprocessing
- input data
- data sets
- detection algorithm
- learning algorithm
- noisy data
- training data
- data sources
- optimization algorithm
- supervised learning
- k means
- feature vectors
- classification trees
- objective function
- optimal solution
- search space
- classification scheme
- similarity measure
- classification method
- data analysis
- segmentation algorithm
- support vector machine svm
- training samples
- clustering analysis
- data mining techniques
- support vector machine
- synthetic datasets
- dynamic programming
- np hard
- bayesian methods
- large scale data sets
- nearest neighbour
- spectral clustering
- data points
- classification accuracy
- multi objective
- feature space
- decision trees
- data mining