kmeans

Type Members

1. class KMeansLearner extends MLLearner

   

   Kmeans is clustering algorithm, which find the closest center of each instance.

   Kmeans is clustering algorithm, which find the closest center of each instance. This is the learner class of kmeans.

2. class KMeansModel extends MLModel

   

3. class KMeansPredictTask extends PredictTask[LongWritable, Text]

   

   Predict task of k-means model, first pull centers from PS, second predict the value of local dataset

4. class KMeansResult extends PredictResult

   

   Predict result of kmeans

5. class KMeansRunner extends MLRunner

   

6. class KMeansTrainTask extends TrainTask[LongWritable, Text]

   

   Kmeans clustering algorithm aims to partition sample points into n clusters, in which each point belongs to the cluster with the nearest distance to the cluster center.