Hierarchical conceptual clustering based on quantile method for identifying microscopic details in distributional data.
Kadri UmblejaManabu IchinoHiroyuki YaguchiPublished in: Adv. Data Anal. Classif. (2021)
Keyphrases
- synthetic data
- input data
- data sets
- test data
- significant improvement
- missing data
- pairwise
- noisy data
- training data
- hierarchical clustering
- data sources
- data collection
- data quality
- image segmentation
- original data
- statistical methods
- data distribution
- data processing
- neural network
- high accuracy
- support vector machine
- classification accuracy
- prior knowledge
- statistical analysis
- training samples
- clustering method
- database
- co occurrence
- probability distribution
- missing values
- raw data
- probabilistic model
- computational cost
- dynamic programming