A Sparse Greedy Self-Adaptive Algorithm for Classification of Data.
Ankur SrivastavaAndrew J. MeadePublished in: Adv. Data Sci. Adapt. Anal. (2010)
Keyphrases
- classification algorithm
- preprocessing
- input data
- data sets
- support vector machine svm
- data reduction
- extracted features
- computational complexity
- data analysis
- classification trees
- classification method
- noisy data
- simulated annealing
- sparse data
- clustering analysis
- training data
- feature selection
- learning algorithm
- labeling process
- data sources
- np hard
- search space
- objective function
- detection algorithm
- data mining techniques
- locally optimal
- large scale data sets
- missing data
- data points
- dynamic programming
- k means
- machine learning
- high dimensional data
- training samples
- expectation maximization
- support vector machine
- decision trees