| Interface | Description |
|---|---|
| SimHash<T> |
SimHash is a technique for quickly estimating how similar two sets are.
|
| Class | Description |
|---|---|
| Bucket |
A bucket is a container for points that all have the same value for hash
function g (function g is a vector of k LSH functions).
|
| Hash |
The hash function for Euclidean spaces.
|
| HashValueParzenModel | |
| MultiProbeHash |
The hash function for data in Euclidean spaces.
|
| MultiProbeSample |
Training sample for MPLSH.
|
| NeighborHashValueModel |
Gaussian model of hash values of nearest neighbor.
|
| PosterioriModel |
Pre-computed posteriori probabilities for generating multiple probes.
|
| PrH |
Probability for given query object and hash function.
|
| Probe |
Probe to check for nearest neighbors.
|
| PrZ |
Probability list of all buckets for given query object.
|