Hub

134 results

Filter
Filter by tag
K-means
Clustering Customer segmentation CI Customer Intelligence Education Data mining Machine learning ROC Curve Analytics H2O Machine Learning
+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
    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
  4. 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
  5. Workflow
    Churn Analysis
    Churn Analysis Customer Intelligence CI
    +3
    This workflow clusters telco customers using the k-Means algorithm. As in all exploratory data mining, it is unknown beforehand w…
    knime > Examples > 50_Applications > 03_Churn_Analysis > 01_ChurnAnalysis
    5
    knime
  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
    4
    knime
  7. 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
  8. 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
  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
    +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
  11. 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
  12. 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
  13. Workflow
    Clustering on simulated clustered data
    K-means Hierarchical clustering DBSCAN
    Clustering algorithms applied to simulated clustered data with 6 clusters
    hayasaka > Public > Clustering > ApplicationToyData_UnlabeledTruth
    1
    hayasaka
  14. 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
  15. 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
  16. 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…
    terbe > Public > L3-PC KNIME Server Course - Productionizing and Collaboration > Customer Segmentation
    0
    terbe
  17. Workflow
    Data Mining - Solution
    Machine learning Data mining Classification
    +11
    Exercise 4 for KNIME User Training - Training a Decision Tree to predict a nominal target column - Evaluate the model performance…
    ioneliad > Public > ID_Workflow_Group > L1-DS KNIME Analytics Platform for Data Scientists - Basics > solutions > 04. Machine Learning - Solution
    0
    ioneliad
  18. Workflow
    Basic Customer Segmentation
    Clustering K-Means Customer segmentation
    This workflow implements a basic customer segmentation through a clustering procedure. No input is required from business analyst
    serkanbircan > Public > Example Workflows > Customer Intelligence > Customer Segmentation > Basic Customer Segmentation Use Case
    0
    serkanbircan
  19. Workflow
    Data Mining - Solution
    Machine learning Data mining Classification
    +11
    Exercise 4 for KNIME User Training - Training a Decision Tree to predict a nominal target column - Evaluate the model performance…
    kmarrs901 > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > solutions > 04. Machine Learning - Solution
    0
    kmarrs901
  20. Workflow
    Basic Customer Segmentation
    Clustering K-Means Customer segmentation
    +3
    This workflow implements a basic customer segmentation through a clustering procedure. The data is of a telecommunication company…
    francheska01 > Public > Basic Customer Segmentation Use Case with weka--Telecom dataset
    0
    francheska01