Package | Description |
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oracle.spatial.hadoop.vector.cluster.kmeans |
Contains classes used for k-means clustering .
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oracle.spatial.hadoop.vector.cluster.kmeans.mapred |
Contains mapreduce-related components to perform the k-means clustering algorithm.
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oracle.spatial.hadoop.vector.cluster.kmeans.mapreduce |
Contains mapreduce-related components (Hadoop new API) to perform the k-means clustering algorithm.
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Constructor and Description |
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InitialKPointsGenerator(PointWritable[] points)
Creates a new instance
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Modifier and Type | Method and Description |
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PointWritable[] |
KMeansSampler.getSample(AbstractInputDataSet dataSet, InputDataSetConfiguratorHandler confHandler, Configuration conf)
Gets a sample of points from the input data set.
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PointWritable[] |
KMeansSampler.getSample(java.lang.Class<? extends <any>> inputFormatClass, java.lang.Class<? extends RecordInfoProvider<K,V>> riProviderClass, java.lang.String input, Configuration conf)
Gets a sample of points from the input data set.
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Modifier and Type | Method and Description |
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PointWritable[] |
KMeansSampler.getSample(AbstractInputDataSet dataSet, InputDataSetConfiguratorHandler confHandler, Configuration conf)
Gets a sample of points from the input data set.
|
PointWritable[] |
KMeansSampler.getSample(java.lang.Class<? extends <any>> inputFormatClass, java.lang.Class<? extends RecordInfoProvider<K,V>> riProviderClass, java.lang.String input, Configuration conf)
Gets a sample of points from the input data set.
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