C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
Contains classes of K-Means algorithm.
Namespaces | |
init | |
Contains classes for computing initial centroids for 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 K-Means algorithm. More... | |
enum | MasterInputId { partialResults } |
Available identifiers of input objects for 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 K-Means algorithm in the distributed processing mode. More... | |
enum | ResultId { centroids, assignments, objectiveFunction, goalFunction = objectiveFunction, nIterations } |
Available identifiers of results of K-Means algorithm. More... | |
enum DistanceType |
enum InputId |
enum MasterInputId |
enum Method |
enum PartialResultId |
Enumerator | |
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nObservations |
Table containing the number of observations assigned to centroids |
partialSums |
Table containing the sum of observations assigned to centroids |
partialObjectiveFunction |
Table containing an objective function value |
partialGoalFunction |
Table containing an objective function value
|
partialAssignments |
Table containing assignments of observations to particular clusters |
partialCandidatesDistances |
Table containing goal function of observations most distant from their assigned cluster center |
partialCandidatesCentroids |
Table containing observations most distant from their assigned cluster center |
enum ResultId |
Enumerator | |
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centroids |
Table containing cluster centroids |
assignments |
Table containing assignments of observations to particular clusters |
objectiveFunction |
Table containing an objective function value |
goalFunction |
Table containing an objective function value
|
nIterations |
Table containing the number of executed iterations |
For more complete information about compiler optimizations, see our Optimization Notice.