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Clustering Analysis

Clustering Analysis
Elbow method for selecting number of clustersReferenced from: https://hub.knime.com/knime/spaces/Examples/latest/08_Other_Analytics_Types/01_Text_Processing/17_TopicExtraction_with_the_ElbowMethod~H8EUf75lnsyAv6-U What kind of music is relevant on Tiktok?K-means Clustering to find out the distinct features that might help tracks succeed on Tiktok Dataset Prep K-means ClusteringGetting the k variable from the elbow method as input, we cluster the songsbased on their audio features Silhoutte CoefficientMean silhouette plot over kReferneced from: https://hub.knime.com/pvn/spaces/Public/latest/Silhouette~spmgWuBGUrKizIZD K-means ClusteringGetting the k variable from the elbow method as input, we cluster the songs based ontheir audio features Clustering results VisualizedAfter we observed the clustering results, we've noticed asimilarity in the clusters we've found. Can we put a nameto this type of music K-means gave us? 20 iterationsk: 1-20kControl GroupK-meansClusteringK=2Aggregate MeanBrand's TiktokAggregate MeanK-meansClusteringK=2Node 915Node 916Tiktok metadataNode 987Node 994Node 1005 Optimized K-Means(Silhouette Coefficient) k-Means Loop End Calculate sum ofsquared errors Counting Loop Start Java Edit Variable Find Elbow Scatter Plot Normalizer Column Filter Excel Reader Variable toTable Column Excel Reader k-Means GroupBy Excel Reader Normalizer Column Filter GroupBy k-Means Rule Engine Rule Engine Excel Reader AggregateEngagement Aggregate AudioFeatures Engagementvs Cluster Aggregateby Cluster Audio Featuresvs Cluster Silhoutte Coef Plot Elbow method for selecting number of clustersReferenced from: https://hub.knime.com/knime/spaces/Examples/latest/08_Other_Analytics_Types/01_Text_Processing/17_TopicExtraction_with_the_ElbowMethod~H8EUf75lnsyAv6-U What kind of music is relevant on Tiktok?K-means Clustering to find out the distinct features that might help tracks succeed on Tiktok Dataset Prep K-means ClusteringGetting the k variable from the elbow method as input, we cluster the songsbased on their audio features Silhoutte CoefficientMean silhouette plot over kReferneced from: https://hub.knime.com/pvn/spaces/Public/latest/Silhouette~spmgWuBGUrKizIZD K-means ClusteringGetting the k variable from the elbow method as input, we cluster the songs based ontheir audio features Clustering results VisualizedAfter we observed the clustering results, we've noticed asimilarity in the clusters we've found. Can we put a nameto this type of music K-means gave us? 20 iterationsk: 1-20kControl GroupK-meansClusteringK=2Aggregate MeanBrand's TiktokAggregate MeanK-meansClusteringK=2Node 915Node 916Tiktok metadataNode 987Node 994Node 1005 Optimized K-Means(Silhouette Coefficient) k-Means Loop End Calculate sum ofsquared errors Counting Loop Start Java Edit Variable Find Elbow Scatter Plot Normalizer Column Filter Excel Reader Variable toTable Column Excel Reader k-Means GroupBy Excel Reader Normalizer Column Filter GroupBy k-Means Rule Engine Rule Engine Excel Reader AggregateEngagement Aggregate AudioFeatures Engagementvs Cluster Aggregateby Cluster Audio Featuresvs Cluster Silhoutte Coef Plot

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Created by: naoh1
Created at: 2021-11-27
On NodePit since: 2021-12-06
Last update: 2024-04-18
Created with KNIME version: v4.4.2
Tags: K-meansClusteringaudio featuresmusic classification

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