Bit Vector Distances

Distance measures on bit vectors (fingerprints).

Options

Column Selection

Choose the column for which the distance measure is defined.

Distance Selection

Select and configure the distance to be used for measurement. Additional information is available through the help button in the configuration dialog.

Tversky Distance (Tanimoto/ Dice)
The Tversky distance is a generalization of the Dice or Tanimoto coefficient.

Cosine Distance
Cosine similarity is a measure of similarity between two vectors of an inner product space that measures the cosine of the angle between them.

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Workflows

• 01_ClusteringKNIME Hub
• 01_Clustering_and_Interactive_Compound_SelectionKNIME Hub
• 01_Clustering_Fingerprint_SimilarityKNIME Hub
• 01_Tarceva_neighbor_network_from_SureChEMBLKNIME Hub
• 02_ClusteringKNIME Hub
• 03_ClusteringKNIME Hub
• 03_ClusteringKNIME Hub
• 03_ClusteringKNIME Hub
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• 03_Clustering_solutionKNIME Hub
• 03_Clustering_solutionKNIME Hub
• 03a_Clustering and MCSKNIME Hub
• 08_Interactive_Webportal_Visualisation_of_Neighbor_NetworkKNIME Hub
• 08_Interactive_Webportal_Visualisation_of_Neighbor_NetworkKNIME Hub
• 0x_Bonus_Clustering_MCSKNIME Hub
• Biased diversity selectionKNIME Hub
• Cluster compoundsKNIME Hub
• ClusteringKNIME Hub
• Clustering TestKNIME Hub
• Clustering_and_RGDKNIME Hub
• Clustering_and_RGDKNIME Hub
• Clustering_DataAppKNIME Hub
• Clustering_DataAppKNIME Hub
• Clustering_Saving_with_LoopsKNIME Hub
• Clustering_Saving_with_LoopsKNIME Hub
• FP ClusteringKNIME Forum
• Markush_from_documentKNIME Hub
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• Tarceva_neighbor_networkKNIME Hub
• TopicKRKNIME Hub

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