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Clustering
K-means Customer segmentation Data mining Machine learning CI Customer Intelligence ROC Curve Mining Analytics LigandScout
+2
  1. Workflow
    Analyze Data by Training a k-Means Clustering on Location Data
    Cluster K-Means Algorithm
    +4
    In this workflow, we perform a Clustering task on location data where we have longitude and latitude information. We use the k-me…
    knime > Beginners Space > 04_Analyze > 03_Analyze_Clustering_location_data
    7
    knime
  2. Workflow
    Clustering with k-Means
    Clustering K-Means Machine learning
    +3
    This workflow performs clustering of the iris dataset using k-Means. Two workflows: one to build the k-Means prototypes (top) and…
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter7 > 02_kMeans
    5
    knime
  3. Workflow
    Customer Segmentation
    Clustering K-Means Customer segmentation
    +7
    This workflow performs customer segmentation by means of k-Mean clustering. The second part of the workflow implements an interac…
    knime > Examples > 50_Applications > 24_Customer_Segmentation_Use_Case > 02_Customer_Segmentation_Use_Case
    5
    knime
  4. Workflow
    Performing a k-Means clustering
    Clustering K-Means Machine learning
    +1
    This workflow shows how to perform a clustering of the iris dataset using the k-Means node.
    knime > Examples > 04_Analytics > 03_Clustering > 01_Performing_a_k-Means_Clustering
    5
    knime
  5. Workflow
    GPT3 Component and workflow
    GPT3 Semantic Scholar Clustering
    +6
    Using the Semantic Scholar API to retrieve some articles and after performing clustering tasks, the GPT3 component for Informatio…
    dromerosm > Public > MEDIUM - GPT3 Component
    3
    dromerosm
  6. Workflow
    Topic Extraction
    Topic Extraction Clustering
    +5
    This workflow shows how to extract topics from text documents using the Topic Extractor node. It reads textual data from a table …
    knime > Examples > 08_Other_Analytics_Types > 01_Text_Processing > 17_TopicExtraction_with_the_ElbowMethod
    3
    knime
  7. Workflow
    Clustering Strings
    Clustering
    This workflow performs assigns clusters based on Hierarchical Clustering for one string column using Levenshtein distance.
    ipazin > Public > 2019_08_12_Clustering_Strings
    2
    ipazin
  8. Workflow
    Clustering with DBSCAN
    Clustering Machine learning Data mining
    +3
    This workflow performs clustering of the iris dataset using DBSCAN. Notice the Numeric Distances node to feed the DBSCAN node wit…
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter7 > 03_DBSCAN
    2
    knime
  9. Workflow
    Semi Supervised Clustering
    T-SNE Clustering Dimensionality Reduction
    +3
    Visualize a table with t-SNE and cluster using k-means and hierarchical clustering.
    aaron_hart > Public > supervised-clustering
    2
    aaron_hart
  10. Workflow
    Basic Customer Segmentation
    Clustering K-Means Customer segmentation
    +3
    This workflow implements a basic customer segmentation through a clustering procedure. No input is required from the business ana…
    knime > Examples > 50_Applications > 24_Customer_Segmentation_Use_Case > 01_Basic_Customer_Segmentation_Use_Case
    2
    knime
  11. Workflow
    Adding cluster labels after k-Means clustering
    Clustering K-Means Machine learning
    +2
    This workflow demonstrates how to add defined cluster labels after k-Means clustering on only one column is performed. This is do…
    ipazin > Public > 2020_09_25_Adding_Cluster_Labels_k-Means_Custering
    1
    ipazin
  12. Workflow
    Hierarchical Clustering
    Clustering Machine learning Data mining
    +3
    This workflow clusters the iris dataset using Hierarchical Clustering
    jjmie > Public > 01_HierarchicalClustering
    1
    jjmie
  13. Workflow
    Retail Store Clustering
    K-means Hierarchical Clustering Clustering
    +4
    This workflow uses a fictional retail company dataset to cluster stores for grouping them into Pre-Season Planning Markets. Ficti…
    brkylmz > BI-FI BUSINESS KNIME PROJECTS > Retail Store Clustering
    1
    brkylmz
  14. Workflow
    Basic Customer Segmentation
    Clustering K-Means Customer segmentation
    +1
    This workflow implements a basic customer segmentation through a clustering procedure. The data is of a telecommunication company…
    ashokharnal > Collection of Components and Workflows > Clustering > Basic Customer Segmentation Use Case with weka
    1
    ashokharnal
  15. Workflow
    Generating Gaussian Clusters
    Gaussian distribution Clustering Data generation
    In this workflow, each cluster is based on three Gaussian distributed values, which form the final cluster. The workflow demonstr…
    haoran > Public > 01_Data_Access > 03_Data_Generation > 01_Generating_clusters_with_Gaussian_distribution
    1
    haoran
  16. Workflow
    Performing a k-Medoids clustering
    Clustering K-Medoids Machine learning
    +1
    This workflow shows how to perform a clustering of the iris dataset using the k-Medoids node.
    knime > Examples > 04_Analytics > 03_Clustering > 02_Performing_a_k-Medoids_Clustering
    1
    knime
  17. Workflow
    Hierarchical Clustering
    Clustering Machine learning Data mining
    +3
    This workflow clusters the iris dataset using Hierarchical Clustering
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter7 > 01_HierarchicalClustering
    1
    knime
  18. Workflow
    Customer Segmentation
    Clustering K-Means Customer segmentation
    +6
    This workflow is used in the practical exercises of the "L3-PC KNIME Server: Productionizing and Collaboration" self-paced course…
    knime > Education > Self-Paced Courses > L3-PC KNIME Server Course - Productionizing and Collaboration > Customer Segmentation
    1
    knime
  19. Node / Visualizer
    Hierarchical Cluster View
    Analytics Mining Clustering
    This view takes a hierarchical cluster tree and the same input table, that has been used for the creating the clustering and visu…
    1
    knime
  20. Workflow
    Basic Customer Segmentation
    Clustering K-Means Customer segmentation
    +3
    This workflow implements a basic customer segmentation through a clustering procedure. No input is required from the business ana…
    alinebessa > Courses and Workshops > Norbert and Michael - Workshop > Customer_Segmentation > Customer_Segmentation
    0
    alinebessa