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Packages that use Printable | |
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org.apache.mahout.clustering | This package provides several clustering algorithm implementations. |
org.apache.mahout.clustering.canopy | |
org.apache.mahout.clustering.dirichlet | |
org.apache.mahout.clustering.dirichlet.models | |
org.apache.mahout.clustering.fuzzykmeans | |
org.apache.mahout.clustering.kmeans | This package provides an implementation of the k-means clustering algorithm. |
org.apache.mahout.clustering.meanshift |
Uses of Printable in org.apache.mahout.clustering |
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Classes in org.apache.mahout.clustering that implement Printable | |
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class |
ClusterBase
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Uses of Printable in org.apache.mahout.clustering.canopy |
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Classes in org.apache.mahout.clustering.canopy that implement Printable | |
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class |
Canopy
This class models a canopy as a center point, the number of points that are contained within it according to the application of some distance metric, and a point total which is the sum of all the points and is used to compute the centroid when needed. |
Uses of Printable in org.apache.mahout.clustering.dirichlet |
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Classes in org.apache.mahout.clustering.dirichlet that implement Printable | |
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class |
DirichletCluster<O>
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Uses of Printable in org.apache.mahout.clustering.dirichlet.models |
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Subinterfaces of Printable in org.apache.mahout.clustering.dirichlet.models | |
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interface |
Model<O>
A model is a probability distribution over observed data points and allows the probability of any data point to be computed. |
Classes in org.apache.mahout.clustering.dirichlet.models that implement Printable | |
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class |
AsymmetricSampledNormalModel
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class |
L1Model
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class |
NormalModel
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class |
SampledNormalModel
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Uses of Printable in org.apache.mahout.clustering.fuzzykmeans |
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Classes in org.apache.mahout.clustering.fuzzykmeans that implement Printable | |
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class |
SoftCluster
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Uses of Printable in org.apache.mahout.clustering.kmeans |
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Classes in org.apache.mahout.clustering.kmeans that implement Printable | |
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class |
Cluster
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Uses of Printable in org.apache.mahout.clustering.meanshift |
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Classes in org.apache.mahout.clustering.meanshift that implement Printable | |
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class |
MeanShiftCanopy
This class models a canopy as a center point, the number of points that are contained within it according to the application of some distance metric, and a point total which is the sum of all the points and is used to compute the centroid when needed. |
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