Clustering with Queries under Semi-Random Noise.
Alberto Del PiaMingchen MaChristos TzamosPublished in: COLT (2022)
Keyphrases
- random noise
- clustering algorithm
- query processing
- query evaluation
- clustering method
- query language
- response time
- web snippets
- data clustering
- data sources
- unsupervised learning
- low signal to noise ratio
- k means
- data objects
- complex queries
- database
- outlier detection
- fuzzy clustering
- cluster analysis
- user queries
- web search engines
- databases
- data sets
- range queries
- information theoretic
- high dimensional data
- anomaly detection
- categorical data
- information retrieval
- inverted index
- tree patterns
- aggregate queries
- neural network
- answering queries