$\mathtt {IP.LSH.DBSCAN}$: Integrated Parallel Density-Based Clustering Through Locality-Sensitive Hashing.
Amir KeramatianVincenzo GulisanoMarina PapatriantafilouPhilippas TsigasPublished in: Euro-Par (2022)
Keyphrases
- density based clustering
- locality sensitive hashing
- nearest neighbor
- locality sensitive
- similarity search
- nearest neighbor search
- brute force
- arbitrary shape
- knn
- approximate similarity search
- approximate nearest neighbor search
- hash functions
- high efficiency
- sift features
- outlier detection
- indexing techniques
- clustering algorithm
- multimedia retrieval
- metric space
- approximate nearest neighbor
- density based clustering algorithm
- hamming distance
- binary codes
- categorical data
- distributed data mining
- space efficient
- range queries
- high dimensional
- data sets
- search methods
- data streams
- data mining