Accord.NET Framework
Framework modules
Accord.MachineLearning
BagOfWords Class
BagOfWords(TInput) Class
BagOfWords(TInput, TClustering) Class
BagOfWordsStatistics Class
BalancedKMeans Class
BaseBagOfWords(TModel, TInput, TClustering) Class
BaseBagOfWords(TModel, TPoint, TFeature, TClustering, TExtractor, TInput) Class
BaseBatches(TBatch, TInput) Class
BaseKNearestNeighbors(TModel, TInput, TDistance) Class
Batches(TInput, TOutput) Class
BinaryClassifierBase(TInput) Class
BinaryLearningBase(TModel, TInput) Class
BinaryLikelihoodClassifierBase(TInput) Class
BinaryScoreClassifierBase(TInput) Class
BinarySplit Class
BoltzmannExploration Class
Bootstrap Class
BootstrapFittingFunction Delegate
BootstrapResult Class
BootstrapValues Class
CentroidCluster(TCollection, TData, TCluster) Class
CentroidCluster(TCollection, TData, TCentroid, TCluster) Class
ClassifierBase(TInput, TClasses) Class
ClassPair Structure
Cluster(TCollection, TData, TCluster) Class
CrossValidation Class
CrossValidation(TModel) Class
CrossValidationFittingFunction(TModel) Delegate
CrossValidationResult(TModel) Class
CrossValidationStatistics Class
CrossValidationValues Class
CrossValidationValues(TModel) Class
Decision Structure
EarlyStopping(TModel) Class
EpsilonGreedyExploration Class
GaussianClusterCollection Class
GaussianClusterCollection.GaussianCluster Class
GaussianMixtureModel Class
GaussianMixtureModelOptions Class
GridSearch(TModel) Class
GridSearchFittingFunction(TModel) Delegate
GridSearchParameter Structure
GridSearchParameterCollection Class
GridSearchRange Class
GridSearchRangeCollection Class
GridSearchResult(TModel) Class
IBagOfWords(T) Interface
IBinaryClassifier Interface
IBinaryClassifier(TInput) Interface
IBinaryLikelihoodClassifier(TInput) Interface
IBinaryScoreClassifier(TInput) Interface
ICentroidClusterCollection(TData, TCluster) Interface
ICentroidClusterCollection(TData, TCentroids, TCluster) Interface
IClassifier Interface
IClassifier(TInput, TClasses) Interface
IClusterCollection(TData) Interface
IClusterCollection(TData, TCluster) Interface
IClusterCollectionEx(TData, TCluster) Interface
IClusteringAlgorithm(TData) Interface
IClusteringAlgorithm(TData, TWeights) Interface
ICovariantTransform(TInput, TOutput) Interface
IDescriptiveLearning(TModel, TInput) Interface
IExplorationPolicy Interface
IGenerative(TInput) Interface
ILikelihoodTagger(TInput) Interface
IMulticlassClassifier Interface
IMulticlassClassifier(TInput) Interface
IMulticlassClassifier(TInput, TClasses) Interface
IMulticlassLikelihoodClassifier(TInput) Interface
IMulticlassLikelihoodClassifier(TInput, TClasses) Interface
IMulticlassLikelihoodClassifierBase(TInput, TClasses) Interface
IMulticlassOutLikelihoodClassifier(TInput, TClasses) Interface
IMulticlassOutScoreClassifier(TInput, TClasses) Interface
IMulticlassRefLikelihoodClassifier(TInput, TClasses) Interface
IMulticlassRefScoreClassifier(TInput, TClasses) Interface
IMulticlassScoreClassifier(TInput) Interface
IMulticlassScoreClassifier(TInput, TClasses) Interface
IMulticlassScoreClassifierBase(TInput, TClasses) Interface
IMultilabelClassifier Interface
IMultilabelClassifier(TInput) Interface
IMultilabelClassifier(TInput, TClasses) Interface
IMultilabelLikelihoodClassifier(TInput) Interface
IMultilabelLikelihoodClassifier(TInput, TClasses) Interface
IMultilabelLikelihoodClassifierBase(TInput, TClasses) Interface
IMultilabelOutLikelihoodClassifier(TInput, TClasses) Interface
IMultilabelOutScoreClassifier(TInput, TClasses) Interface
IMultilabelRefLikelihoodClassifier(TInput, TClasses) Interface
IMultilabelRefScoreClassifier(TInput, TClasses) Interface
IMultilabelScoreClassifier(TInput) Interface
IMultilabelScoreClassifier(TInput, TClasses) Interface
IMultilabelScoreClassifierBase(TInput, TClasses) Interface
IMultipleRegression(TInput) Interface
IMultipleRegression(TInput, TOutput) Interface
IMultipleTransform(TInput, TOutput) Interface
InnerParameters(TBinary, TInput) Class
InverseDocumentFrequency Enumeration
IParallel Interface
IRegression(TInput) Interface
IRegression(TInput, TOutput) Interface
IScoreTagger(TInput) Interface
ISupervisedBinaryLearning(TModel) Interface
ISupervisedBinaryLearning(TModel, TInput) Interface
ISupervisedLearning(TModel, TInput, TOutput) Interface
ISupervisedMulticlassLearning(TModel) Interface
ISupervisedMulticlassLearning(TModel, TInput) Interface
ISupervisedMultilabelLearning(TModel) Interface
ISupervisedMultilabelLearning(TModel, TInput) Interface
ISupportsCancellation Interface
ITagger(TInput) Interface
ITransform Interface
ITransform(TInput) Interface
ITransform(TInput, TOutput) Interface
IUnsupervisedLearning(TModel, TInput, TOutput) Interface
KMeans Class
KMeansClusterCollection Class
KMeansClusterCollection.KMeansCluster Class
KMedoids Class
KMedoids(T) Class
KMedoidsClusterCollection(T) Class
KMedoidsClusterCollection(T).KMedoidsCluster Class
KModes Class
KModes(T) Class
KModesClusterCollection(T) Class
KModesClusterCollection(T).KModesCluster Class
KNearestNeighbors Class
KNearestNeighbors(TInput) Class
LikelihoodTaggerBase(TInput) Class
MeanShift Class
MeanShiftClusterCollection Class
MeanShiftClusterCollection.MeanShiftCluster Class
MiniBatches Class
MiniBatches(TInput) Class
MiniBatchKMeans Class
MinimumMeanDistanceClassifier Class
ModelStorageMode Enumeration
MulticlassClassifierBase Class
MulticlassClassifierBase(TInput) Class
MulticlassLearningBase(TModel) Class
MulticlassLearningBase(TModel, TInput) Class
MulticlassLikelihoodClassifierBase(TInput) Class
MulticlassScoreClassifierBase(TInput) Class
MultilabelClassifierBase(TInput) Class
MultilabelLikelihoodClassifierBase(TInput) Class
MultilabelScoreClassifierBase(TInput) Class
MultipleTransformBase(TInput, TOutput) Class
OneVsOne(TBinary) Class
OneVsOne(TBinary, TInput) Class
OneVsOneLearning(TBinary, TModel) Class
OneVsOneLearning(TInput, TBinary, TModel) Class
OneVsRest(TModel) Class
OneVsRest(TModel, TInput) Class
OneVsRestLearning(TBinary, TModel) Class
OneVsRestLearning(TInput, TBinary, TModel) Class
ParallelLearningBase Class
QLearning Class
RANSAC(TModel) Class
RouletteWheelExploration Class
Sarsa Class
ScoreTaggerBase(TInput) Class
Seeding Enumeration
ShuffleMethod Enumeration
SplitSetResult(TModel) Class
SplitSetStatistics Class
SplitSetStatistics(TModel) Class
SplitSetValidation Class
SplitSetValidation(TModel) Class
SplitValidationEvaluateFunction(TModel) Delegate
SplitValidationFittingFunction(TModel) Delegate
SubproblemEventArgs Class
TabuSearchExploration Class
TaggerBase(TInput) Class
TermFrequency Enumeration
TFIDF Class
Tools Class
TransformBase Class
TransformBase(TInput) Class
TransformBase(TInput, TOutput) Class
VoronoiIteration Class
VoronoiIteration(T) Class
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Seeding Enumeration
Initialization schemes for clustering algorithms.

Namespace:  Accord.MachineLearning
Assembly:  Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.8.0
Syntax
Copy
public enum Seeding
Members
  Member nameValueDescription
Fixed0 Do not perform initialization.
Uniform1 Randomly sample points to become centroids.
KMeansPlusPlus2 Use the kmeans++ seeding algorithm for generating initial centroids.
PamBuild3 Use the PAM BUILD algorithm for generating initial centroids.
See Also