Using the two-population genetic algorithm with distance-based k-nearest neighbour voting classifier for high-dimensional data.
Chien-Pang LeeWen-Shin LinPublished in: Int. J. Data Min. Bioinform. (2016)
Keyphrases
- k nearest neighbour
- high dimensional data
- knn
- nearest neighbor
- genetic algorithm
- k nearest neighbor
- dimensionality reduction
- data sets
- nearest neighbour
- high dimensional
- data points
- high dimensionality
- low dimensional
- data analysis
- similarity search
- subspace clustering
- information gain
- support vector machine
- distance function
- multi layer perceptron
- high dimensional spaces
- neural network
- manifold learning
- clustering high dimensional data
- artificial neural networks
- text categorization
- linear discriminant analysis
- euclidean distance
- support vector machine svm
- missing values
- text classification
- evolutionary algorithm
- simulated annealing
- distance measure
- fitness function
- multi objective
- pattern recognition
- feature extraction
- outlier detection
- input data
- feature set
- labeled data
- genetic programming
- image processing
- learning algorithm
- high dimensional datasets
- database