A hybrid algorithm with cluster analysis in modelling high dimensional data.
Burcu TungaPublished in: Discret. Appl. Math. (2018)
Keyphrases
- high dimensional data
- hybrid algorithm
- cluster analysis
- data analysis
- dimensionality reduction
- high dimensional
- particle swarm optimization
- low dimensional
- high dimensionality
- nearest neighbor
- dimension reduction
- simulated annealing
- subspace clustering
- unsupervised learning
- clustering algorithm
- data sets
- particle swarm optimization pso
- data clustering
- ant colony optimization
- tabu search
- hierarchical latent class models
- microarray data
- clustering method
- optimal solution
- similarity search
- data mining
- differential evolution
- k means
- high dimensional spaces
- data points
- genetic algorithm
- data mining techniques
- metaheuristic
- optimization method
- manifold learning
- high dimensional datasets
- evolutionary algorithm
- computer vision
- principal component analysis
- linear discriminant analysis
- text mining
- variable selection
- cluster structure