Scalable Distributed Approximation of Internal Measures for Clustering Evaluation.
Federico AltieriAndrea PietracaprinaGeppino PucciFabio VandinPublished in: SDM (2021)
Keyphrases
- scalable distributed
- evaluation measures
- clustering algorithm
- evaluation methods
- k means
- clustering method
- internal and external
- evaluation criteria
- approximation algorithms
- evaluation model
- evaluation metrics
- evaluation method
- cluster analysis
- data points
- outlier detection
- similarity measure
- quantitative measures
- data sets
- closed form
- high dimensional
- feature space
- approximation error
- approximation schemes
- neural network