Multilevel Visual Clustering Exploration for Incomplete Time-Series in Water Samples.
Daniel AlcaideJan AertsPublished in: VAST (2018)
Keyphrases
- clustering algorithm
- k means
- clustering method
- visual exploration
- data mining tasks
- visual features
- visual information
- interactive visual
- hierarchical clustering
- data clustering
- self organizing maps
- categorical data
- high level
- outlier detection
- data sets
- missing values
- cluster analysis
- exploratory analysis
- low level
- dynamic time warping
- high dimension space
- training samples
- chronic hepatitis
- high dimensional
- data exploration
- water quality
- active learning
- data points
- high dimensionality
- missing data
- high dimensional data
- dimensionality reduction