Clustering High-dimensional Toxicogenomics Data with Rare Signals.
Guojing CongScott AuerbachPublished in: ICDM (Workshops) (2023)
Keyphrases
- high dimensional
- data points
- high dimensional data
- data collection
- training data
- sparse data
- data analysis
- data processing
- raw data
- end users
- data structure
- clustering analysis
- input data
- high quality
- data sources
- statistical analysis
- data quality
- noisy data
- data objects
- high dimensional datasets
- probability distribution
- similarity matrix
- independent component analysis
- high dimensionality
- synthetic data
- feature space
- data sets
- data mining techniques
- dimensionality reduction
- knowledge discovery