An Algorithm for Sample and Data Dimensionality Reduction Using Fast Simulated Annealing.
Szymon LukasikPiotr KulczyckiPublished in: ADMA (1) (2011)
Keyphrases
- simulated annealing
- input data
- data sets
- noisy data
- dimensionality reduction
- optimal solution
- computational complexity
- data analysis
- data samples
- detection algorithm
- worst case
- random samples
- sample set
- simulated annealing algorithm
- preprocessing
- optimization algorithm
- learning algorithm
- data points
- training data
- global optimum
- database
- objective function
- data sources
- search space
- synthetic datasets
- data reduction
- k means
- data representation
- principal components
- optimization method
- high dimensional data
- np hard
- dynamic programming
- metaheuristic
- neural network
- hybrid algorithm
- cost function
- expectation maximization
- machine learning
- dimensionality reduction methods
- data structure
- multidimensional scaling
- nearest neighbor
- similarity measure