C++ API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
Contains classes of the K-Means algorithm.
Namespaces | |
| init | |
| Contains classes for computing initial centroids for the K-Means algorithm. | |
| interface1 | |
| Contains version 1.0 of the Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface. | |
Enumerations | |
| enum | Method { lloydDense = 0, defaultDense = 0, lloydCSR = 1 } |
| enum | DistanceType { euclidean } |
| enum | InputId { data, inputCentroids } |
| Available identifiers of input objects for the K-Means algorithm. More... | |
| enum | MasterInputId { partialResults } |
| Available identifiers of input objects for the K-Means algorithm in the distributed processing mode. More... | |
| enum | PartialResultId { nObservations, partialSums, partialObjectiveFunction, partialGoalFunction = partialObjectiveFunction, partialAssignments, partialCandidatesDistances, partialCandidatesCentroids } |
| Available identifiers of partial results of the K-Means algorithm in the distributed processing mode. More... | |
| enum | ResultId { centroids, assignments, objectiveFunction, goalFunction = objectiveFunction, nIterations } |
| Available identifiers of results of the K-Means algorithm. More... | |
For more complete information about compiler optimizations, see our Optimization Notice.