Trimming algorithms for clustering contaminated grouped data and their robustness.
María Teresa GallegosGunter RitterPublished in: Adv. Data Anal. Classif. (2009)
Keyphrases
- data reduction
- data sets
- data structure
- data processing
- data sources
- data quality
- noisy data
- data analysis
- knowledge discovery
- data mining techniques
- binary vectors
- data objects
- data collection
- image data
- data points
- learning algorithm
- data warehouse
- multidimensional data
- clustering method
- synthetic data
- missing data
- data mining algorithms
- statistical methods
- raw data
- categorical data
- spectral clustering
- database
- numerical attributes
- machine learning
- high quality
- computational complexity
- original data
- statistical analysis
- unsupervised learning
- input data
- semi supervised