FANATIC: FAst Noise-Aware TopIc Clustering.
Ari SilburtAnja SubasicEvan ThompsonCarmeline DsilvaTarec FaresPublished in: EMNLP (Findings) (2021)
Keyphrases
- clustering algorithm
- k means
- clustering method
- noise sensitivity
- unsupervised learning
- random noise
- self organizing maps
- data clustering
- spectral clustering
- noisy data
- topic discovery
- missing data
- noise model
- arbitrary shape
- data mining
- additive noise
- noise reduction
- high dimensionality
- data points
- fuzzy clustering
- categorical data
- gaussian noise
- graph theoretic
- signal to noise ratio
- cluster analysis
- clustering analysis
- noise free
- anomaly detection
- topic detection
- low signal to noise ratio
- data sets