Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
Contains classes for computing K-Means.
Packages | |
| package | init |
| Contains classes for computing initial clusters for the K-Means algorithm in the batch processing mode. | |
Classes | |
| class | Batch |
| Computes the results of the K-Means algorithm in the batch processing mode. More... | |
| class | DistanceType |
| Available distance types for the K-Means algorithm. More... | |
| class | DistributedStep1Local |
| Computes K-Means in the distributed processing mode on local nodes. More... | |
| class | DistributedStep1LocalInput |
| Input objects for the K-Means algorithm. Represents input objects for the algorithm on local nodes. More... | |
| class | DistributedStep2Master |
| Computes K-Means in the distributed processing mode on the master node. More... | |
| class | DistributedStep2MasterInput |
| Input objects for the K-Means algorithm in the second step of the distributed processing mode. Represents input objects for the algorithm on the master node. More... | |
| class | DistributedStep2MasterInputId |
| Available identifiers of input objects for the K-Means algorithm on the master node. More... | |
| class | Input |
| Input objects for the K-Means algorithm More... | |
| class | InputId |
| Available identifiers of input objects for the K-Means algorithm. More... | |
| class | Method |
| Available methods of the K-Means algorithm. More... | |
| class | Parameter |
| Parameters of the K-Means computation method. More... | |
| class | PartialResult |
| Provides methods to access partial results obtained with the compute() method of the K-Means algorithm in the distributed processing mode. More... | |
| class | PartialResultId |
| Available identifiers of partial results of the K-Means algorithm. More... | |
| class | Result |
| Results obtained with the compute() method of the K-Means algorithm in the batch processing mode. More... | |
| class | ResultId |
| Available identifiers of the results of the K-Means algorithm. More... | |
For more complete information about compiler optimizations, see our Optimization Notice.