| Name | Description | Type | Package | Framework |
| 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 |
| 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 |