Clustering with Queries under Semi-Random Noise.
Alberto Del PiaMingchen MaChristos TzamosPublished in: CoRR (2022)
Keyphrases
- random noise
- clustering algorithm
- query language
- k means
- low signal to noise ratio
- clustering method
- query processing
- hierarchical clustering
- response time
- data objects
- efficient processing
- fuzzy clustering
- query evaluation
- web search engines
- unsupervised learning
- self organizing maps
- data points
- database
- user queries
- answering queries
- range queries
- data clustering
- data sources
- database queries
- query formulation
- web snippets
- aggregate queries
- query logs
- user behavior
- anomaly detection
- database systems