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ApplicationIris_​UnlabeledTruth

Clustering on the Iris data
True clusters K-means Hierarchical clustering DBSCAN Readingthe irisdataK-meansclustering withk=3Normalize numerical attributesDe-normalizeback to theoriginal scaleAssign colors todifferent clustersScatter plotwith clustersfrom K-meansAverage linkagek=3De-normalizeback to theoriginal scaleAssign colors todifferent clustersScatter plotwith clustersfrom hierarchicalEpsilon=0.25MinPts=3De-normalizeback to theoriginal scaleAssign colors todifferent clustersScatter plotwith clustersfrom DBSCANDistancecalculationScatter plotwithout labels Table Reader k-Means Normalizer Denormalizer Color Manager Scatter Plot HierarchicalClustering Denormalizer Color Manager Scatter Plot DBSCAN Denormalizer Color Manager Scatter Plot Numeric Distances Scatter Plot True clusters K-means Hierarchical clustering DBSCAN Readingthe irisdataK-meansclustering withk=3Normalize numerical attributesDe-normalizeback to theoriginal scaleAssign colors todifferent clustersScatter plotwith clustersfrom K-meansAverage linkagek=3De-normalizeback to theoriginal scaleAssign colors todifferent clustersScatter plotwith clustersfrom hierarchicalEpsilon=0.25MinPts=3De-normalizeback to theoriginal scaleAssign colors todifferent clustersScatter plotwith clustersfrom DBSCANDistancecalculationScatter plotwithout labelsTable Reader k-Means Normalizer Denormalizer Color Manager Scatter Plot HierarchicalClustering Denormalizer Color Manager Scatter Plot DBSCAN Denormalizer Color Manager Scatter Plot Numeric Distances Scatter Plot

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Created by: Satoru
Created at: 2021-05-14
On NodePit since: 2021-11-15
Last update: 2024-11-04
Created with KNIME version: v4.3.3
Tags: K-meansHierarchical clusteringDBSCAN

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