Java* API Reference for Intel® Data Analytics Acceleration Library 2019
Contains classes for computing initial clusters for the K-Means algorithm in the batch processing mode.
Classes | |
| class | InitBatch |
| Computes initial clusters for the K-Means algorithm in the batch processing mode. More... | |
| class | InitDistributedLocalPlusPlusInputDataId |
| Available identifiers of input objects for computing initial clusters for the K-Means algorithm used with plusPlus and parallelPlus methods only on a local node. More... | |
| class | InitDistributedStep1Local |
| First step of computing initial clusters for the K-Means algorithm on local nodes. More... | |
| class | InitDistributedStep1LocalInput |
| Input objects for computing initial clusters for the K-Means algorithm. The class represents input objects for computing initial clusters for the algorithm on local nodes. More... | |
| class | InitDistributedStep2Local |
| Seconda step of computing initial centroids for the K-Means algorithm on local nodes. More... | |
| class | InitDistributedStep2LocalPlusPlusInput |
| Input objects for computing initial centroids for the K-Means algorithm. The class represents input objects for computing initial centroids used with plusPlus and parallelPlus methods only on the 2nd step on a local node. More... | |
| class | InitDistributedStep2LocalPlusPlusInputId |
| Available identifiers of input objects for computing initial clusters for the K-Means algorithm used with plusPlus and parallelPlus methods only on the 2nd step on a local node. More... | |
| class | InitDistributedStep2LocalPlusPlusParameter |
| Parameters for computing initial clusters on the step 2 on local nodes. Kmeans++ and || only. More... | |
| class | InitDistributedStep2LocalPlusPlusPartialResult |
| Provides methods to access partial results of computing initial centroids for the K-Means algorithm in the distributed processing mode. More... | |
| class | InitDistributedStep2LocalPlusPlusPartialResultDataId |
| Available identifiers of partial results of computing initial clusters for the K-Means algorithm in the distributed processing mode used with plusPlus and parallelPlus methods only on the 2nd step on a local node. More... | |
| class | InitDistributedStep2LocalPlusPlusPartialResultId |
| Available identifiers of partial results of computing initial clusters for the K-Means algorithm in the distributed processing mode used with plusPlus and parallelPlus methods only on the 2nd step on a local node. More... | |
| class | InitDistributedStep2Master |
| Computes initial clusters for the K-Means algorithm in the distributed processing mode on the master node. More... | |
| class | InitDistributedStep2MasterInput |
| Input objects for computing initial clusters for the K-Means algorithm. The class represents input objects for computing initial clusters for the algorithm on the master node. More... | |
| class | InitDistributedStep2MasterInputId |
| Available identifiers of input objects for computing initial clusters for the K-Means algorithm on the master node. More... | |
| class | InitDistributedStep3Master |
| Third step of computing initial centroids for the K-Means algorithm on local nodes. More... | |
| class | InitDistributedStep3MasterPlusPlusInput |
| Input objects for computing initial centroids for the K-Means algorithm used with plusPlus and parallelPlus methods only on the 3rd step on a master node. More... | |
| class | InitDistributedStep3MasterPlusPlusInputId |
| Available identifiers of input objects for computing initial clusters for the K-Means algorithm used with plusPlus and parallelPlus methods only on the 3rd step on a master node. More... | |
| class | InitDistributedStep3MasterPlusPlusPartialResult |
| Provides methods to access partial results of computing initial centroids for the K-Means algorithm in the distributed processing mode. More... | |
| class | InitDistributedStep3MasterPlusPlusPartialResultDataId |
| Available identifiers of partial results of computing initial clusters for the K-Means algorithm in the distributed processing mode used with parallelPlus method only on the 3rd step on a master node. More... | |
| class | InitDistributedStep3MasterPlusPlusPartialResultId |
| Available identifiers of partial results of computing initial clusters for the K-Means algorithm in the distributed processing mode used with plusPlus and parallelPlus methods only on the 3rd step on a master node. More... | |
| class | InitDistributedStep4Local |
| Third step of computing initial centroids for the K-Means algorithm on local nodes. More... | |
| class | InitDistributedStep4LocalPlusPlusInput |
| Input objects for computing initial centroids for the K-Means algorithm. The class represents input objects for computing initial centroids used with plusPlus and parallelPlus methods only on the 4th step on a local node. More... | |
| class | InitDistributedStep4LocalPlusPlusInputId |
| Available identifiers of input objects for computing initial clusters for the K-Means algorithm used with plusPlus and parallelPlus methods only on the 4th step on a local node. More... | |
| class | InitDistributedStep4LocalPlusPlusPartialResult |
| Provides methods to access partial results of computing initial centroids for the K-Means algorithm in the distributed processing mode. More... | |
| class | InitDistributedStep4LocalPlusPlusPartialResultId |
| Available identifiers of partial results of computing initial clusters for the K-Means algorithm in the distributed processing mode used with plusPlus and parallelPlus methods only on the 4th step on a local node. More... | |
| class | InitDistributedStep5Master |
| Third step of computing initial centroids for the K-Means algorithm on local nodes. More... | |
| class | InitDistributedStep5MasterPlusPlusInput |
| Input objects for computing initial centroids for the K-Means algorithm used with plusPlus and parallelPlus methods only on the 5th step on a master node. More... | |
| class | InitDistributedStep5MasterPlusPlusInputDataId |
| Available identifiers of input objects for computing initial clusters for the K-Means algorithm used with parallelPlus methods only on the 5th step on a master node. More... | |
| class | InitDistributedStep5MasterPlusPlusInputId |
| Available identifiers of input objects for computing initial clusters for the K-Means algorithm used with plusPlus and parallelPlus methods only on the 5th step on a master node. More... | |
| class | InitDistributedStep5MasterPlusPlusPartialResult |
| Provides methods to access partial results of computing initial centroids for the K-Means algorithm in the distributed processing mode. More... | |
| class | InitDistributedStep5MasterPlusPlusPartialResultId |
| Available identifiers of partial results of computing initial clusters for the K-Means algorithm in the distributed processing mode used with parallelPlus method only on the 5th step on a master node. More... | |
| class | InitInput |
| InitInput objects for computing initial clusters for the K-Means algorithm More... | |
| class | InitInputId |
| Available identifiers of input objects for computing initial clusters for the K-Means algorithm. More... | |
| class | InitMethod |
| Methods of computing initial clusters for the K-Means algorithm. More... | |
| class | InitParameter |
| Parameters for computing initial clusters for the K-Means method. More... | |
| class | InitPartialResult |
| Provides methods to access partial results of computing initial centroids for the K-Means algorithm in the distributed processing mode. More... | |
| class | InitPartialResultId |
| Available identifiers of partial results of computing initial clusters for the K-Means algorithm. More... | |
| class | InitResult |
| Results of computing initial clusters for the K-Means algorithm in the batch processing mode. More... | |
| class | InitResultId |
| Available identifiers of the results of computing initial clusters for the K-Means algorithm. More... | |
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