Binary tree data mining toolkit: tree building, KNN graph construction, newick parsing, the diffusion map and partitioning utilities.
Microsoft.VisualBasic.DataMining.BinaryTreeClustering 1.0.9762.11310.
01 Namespaces
Microsoft.VisualBasic.DataMining.BinaryTree
| Type | Summary | Members |
|---|---|---|
| BTreeCluster | Clustering data via binary tree | 2 |
| ClusterTree | A simple cluster tree builder just provides the reference id of the target object for make the alignment or comparision. | 3 |
| ClusterViz | 1 | |
| Comparison | Data adapter for get comparision score from a pre-computed DistanceMatrix. | 2 |
| ComparisonProvider | 6 | |
| DiffusionMap | Generate a diffusion map embedding | 2 |
| KNNGraph | 3 | |
| NewickParser | http://www.evolgenius.info/evolview/ | 4 |
| Partitioning | 2 |
Microsoft.VisualBasic.DataMining.BinaryTree.AffinityPropagation
Affinity propagation clustering.
| Type | Summary | Members |
|---|---|---|
| AffinityPropagation | Affinity propagation In statistics and data mining, affinity propagation (AP) is a clustering algorithm based on the concept of "message passing" between data points. | 6 |
| QuickSelect | 1 | |
| SimilarityMatrix | 1 |
Microsoft.VisualBasic.DataMining.BinaryTree.ClusterTree
| Type | Summary | Members |
|---|---|---|
| Argument | 9 |
Microsoft.VisualBasic.DataMining.BinaryTree.KNNGraph
| Type | Summary | Members |
|---|---|---|
| NodeVisits | 1 |