Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 4
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.