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supervised-clustering

Semi Supervised Clustering

Visualize a table with t-SNE and cluster using k-means and hierarchical clustering.

Semi Supervised Clustering ExampleThis workflow demonstrates an unsupervised learning approach to data exploration and clustering using meta-clustering (k-means into hierachical clustering) and visualization with t-SNE. The t-SNE plots are colored by three separate factors: 1) The clustering proposed by the algorithm. 2) Some desired descriminator referred to as the value variable 3) Some undesireable discriminator referred to as a confounding variableCluster granularity can be controlled from the view of the "Hierarchical Clustering" component. Dragging thethrehold in the dendrogram up and down will decrease and increase the number of clusters respectively. Finally, per-cluster plots are generated showing the relative distributions of each cluster. (view)(view)(view)Create Data Pre-Train HierarchicalClustering Cluster Details 3d Scatterplot Semi Supervised Clustering ExampleThis workflow demonstrates an unsupervised learning approach to data exploration and clustering using meta-clustering (k-means into hierachical clustering) and visualization with t-SNE. The t-SNE plots are colored by three separate factors: 1) The clustering proposed by the algorithm. 2) Some desired descriminator referred to as the value variable 3) Some undesireable discriminator referred to as a confounding variableCluster granularity can be controlled from the view of the "Hierarchical Clustering" component. Dragging thethrehold in the dendrogram up and down will decrease and increase the number of clusters respectively. Finally, per-cluster plots are generated showing the relative distributions of each cluster. (view)(view)(view)Create Data Pre-Train HierarchicalClustering Cluster Details 3d Scatterplot

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Created by: hartaa1
Created at: 2019-07-01
On NodePit since: 2020-07-10
Last update: 2024-04-18
Created with KNIME version: v4.2.1
Tags: t-SNEClusteringDimensionality Reductionk-Meansmeta-clusteringsemi-supervised learning

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