The t-SNE Algorithm as a Tool to Improve the Quality of Reference Data Used in Accurate Mapping of Heterogeneous Non-Forest Vegetation.
Anna Halladin-DabrowskaAdam KaniaDominik KopecPublished in: Remote. Sens. (2020)
Keyphrases
- input data
- high quality
- noisy data
- cost function
- data sets
- high accuracy
- computationally efficient
- database
- dimensional data
- data reduction
- k means
- data quality
- computational complexity
- missing data
- training data
- clustering method
- high dimensional data
- synthetic data
- data sources
- objective function
- preprocessing
- matching algorithm
- heterogeneous sources
- optimization algorithm
- mapping function
- worst case
- knowledge discovery
- dynamic programming
- np hard
- data analysis
- optimal solution
- labeled data
- data collection
- segmentation algorithm
- data mining techniques
- image data
- computational cost
- association rule mining
- xml documents
- association rules
- data mining