Building Diversified Multiple Trees for Classification in High Dimensional Noise Data.
Jiuyong LiLin LiuJixue LiuRyan GreenPublished in: CoRR (2016)
Keyphrases
- data sets
- noisy data
- high dimensional
- missing data
- sparse data
- data analysis
- training samples
- decision trees
- data quality
- data collection
- image classification
- image data
- data points
- input data
- classification accuracy
- high dimensional data
- raw data
- nearest neighbor
- random noise
- xml documents
- spatial data
- classification algorithm
- multiple sources
- input space
- tree nodes
- classification trees
- feature extraction
- feature space
- feature vectors
- dimension reduction
- high dimensionality
- data sources
- text classification