The Fundamental Clustering and Projection Suite (FCPS): A Dataset Collection to Test the Performance of Clustering and Data Projection Algorithms.
Alfred UltschJörn LötschPublished in: Data (2020)
Keyphrases
- synthetic datasets
- data points
- high dimensional datasets
- data analysis
- data mining tasks
- high dimensional data
- clustering algorithm
- spectral clustering
- clustering method
- data structure
- data sets
- binary vectors
- data objects
- real valued data
- spectral methods
- data reduction
- categorical data
- data clustering
- data sources
- database
- clustering analysis
- multidimensional data
- synthetic data
- benchmark datasets
- test data
- high dimensional data sets
- spatial data
- data mining algorithms
- knowledge discovery
- cluster analysis
- data collection
- hierarchical clustering
- clustering quality
- self organizing maps
- training data
- clustering result
- cluster structure
- output space
- sufficient statistics
- permutation tests
- clustering approaches
- data representations
- missing data
- high dimensional
- statistical methods
- synthetic and real datasets
- anomaly detection