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#Org.knime.base.node.mine.cluster Classes and Interfaces - 32 results found.
| Name | Description | Type | Package | Framework |
| ClusterAssignerNodeFactory | Class | org.knime.base.node.mine.cluster.assign | KNIME | |
| ClusterAssignerNodeModel | Class | org.knime.base.node.mine.cluster.assign | KNIME | |
| ClusterMembershipFactory | This CellFactory produces appended cells: for each DataRow the memberships to the cluster prototypes and the winner cluster in the last | Class | org.knime.base.node.mine.cluster.fuzzycmeans | KNIME |
| ClusterNode | Represents a Node in the hierarchy tree (Dendrogram) of a hierarchicalAuthor:Christoph Sieb, University of Konstanz | Class | org.knime.base.node.mine.cluster.hierarchical | KNIME |
| ClusterNodeDialog | ClusterNodeModel - allows to adjust number of clusters and other properties. | Class | org.knime.base.node.mine.cluster.kmeans | KNIME |
| ClusterNodeFactory | Create classes for k-means Clustering NodeModel, NodeView and NodeDialogPane. | Class | org.knime.base.node.mine.cluster.kmeans | KNIME |
| ClusterNodeModel | Generate a clustering using a fixed number of cluster centers and the k-means algorithm. | Class | org.knime.base.node.mine.cluster.kmeans | KNIME |
| ClusterNodeView | Class | org.knime.base.node.mine.cluster.kmeans | KNIME | |
| ClusterViewData | Class | org.knime.base.node.mine.cluster.kmeans | KNIME | |
| DistanceFunction | The interface a distance function must implement. | Interface | org.knime.base.node.mine.cluster.hierarchical.distfunctions | KNIME |
| DistanceFunction .Names | The name sof the implemented distance functions. | Class | org.knime.base.node.mine.cluster.hierarchical.distfunctions | KNIME |
| DistancePlotProperties | Class | org.knime.base.node.mine.cluster.hierarchical | KNIME | |
| EuclideanDist | Calculates the distance for two data rows based on the euclidean distance. | Class | org.knime.base.node.mine.cluster.hierarchical.distfunctions | KNIME |
| FCMAlgorithm | The Fuzzy c-means algorithm. | Class | org.knime.base.node.mine.cluster.fuzzycmeans | KNIME |
| FCMAlgorithmMemory | The Fuzzy c-means algorithm. | Class | org.knime.base.node.mine.cluster.fuzzycmeans | KNIME |
| FCMQualityMeasures | Utility class to compute several cluster quality measures based on a Fuzzy c-means clustering. | Class | org.knime.base.node.mine.cluster.fuzzycmeans | KNIME |
| FuzzyClusterNodeDialog | Dialog for FuzzyClusterNodeModel- allows to adjust number of clusters and other properties. | Class | org.knime.base.node.mine.cluster.fuzzycmeans | KNIME |
| FuzzyClusterNodeFactory | Create classes for fuzzy c-means Clustering NodeModel, NodeView andAuthor:Michael Berthold, University of Konstanz, Nicolas Cebron, University of Konstanz | Class | org.knime.base.node.mine.cluster.fuzzycmeans | KNIME |
| FuzzyClusterNodeFactory2 | Create classes for fuzzy c-means Clustering NodeModel, NodeView andSince:3. | Class | org.knime.base.node.mine.cluster.fuzzycmeans | KNIME |
| FuzzyClusterNodeModel | Generate a fuzzy c-means clustering using a fixed number of cluster centers. | Class | org.knime.base.node.mine.cluster.fuzzycmeans | KNIME |
| FuzzyClusterNodeView | The FuzzyClusterNodeView provides the user with information about the qualityAuthor:Nicolas Cebron, University of Konstanz | Class | org.knime.base.node.mine.cluster.fuzzycmeans | KNIME |
| HierarchicalClusterNodeDialog | Class | org.knime.base.node.mine.cluster.hierarchical | KNIME | |
| HierarchicalClusterNodeFactory | The Factory for the hierarchical clustering node. | Class | org.knime.base.node.mine.cluster.hierarchical | KNIME |
| HierarchicalClusterNodeModel | Class | org.knime.base.node.mine.cluster.hierarchical | KNIME | |
| HierarchicalClusterNodeModel .Linkage | Different types of determination of the distance between two clusters. | Class | org.knime.base.node.mine.cluster.hierarchical | KNIME |
| HierarchicalClusterNodeView | This view displays the scoring results. | Class | org.knime.base.node.mine.cluster.hierarchical | KNIME |
| LinearNorm | Class | org.knime.base.node.mine.cluster | KNIME | |
| ManhattanDist | Calculates the distance for two data rows based on the manhatten distance. | Class | org.knime.base.node.mine.cluster.hierarchical.distfunctions | KNIME |
| MinkowskiDist | Calculates the distance for two data rows based on the Minkowski distance. | Class | org.knime.base.node.mine.cluster.hierarchical.distfunctions | KNIME |
| PMMLClusterTranslator | A Cluster translator class between KNIME and PMML. | Class | org.knime.base.node.mine.cluster | KNIME |
| PMMLClusterTranslator .ComparisonMeasure | Constants indicating whether the squared euclidean or the euclidean comparison measure should be used. | Class | org.knime.base.node.mine.cluster | KNIME |
| Prototype | This class represents a prototype. | Class | org.knime.base.node.mine.cluster.assign | KNIME |