NodeNumeric Distances

Manipulator

Distance definition on numerical column(s), like for instance Euclidean or Manhattan distance. Parameters for missing value handling and normalization can be set depending on the selected distance function.

Input Ports

  1. Port Type: Data
    Input data.

Output Ports

  1. Port Type: Distance Measure
    The configured distance.

  1. Performing a k-Medoids clustering

    clustering k-Medoids machine learning data mining
    This workflow shows how to perform a clustering of the iris dataset using the k-Medoids node.
    aajaradata > 02_Performing_a_k-Medoids_Clustering

  2. Simple Document Classification using Word Vectors

    deeplearning machine learning word2vec doc2vec word vectors embeddings classification
    This example shows how to transform a document into a vector using a word vector model and using these vectors for class…
    shima0011 > 04_Analytics > 14_Deep_Learning > 01_DL4J > 07_Simple_Document_Classification_Using_Word_Vectors

  3. Simple Document Classification using Word Vectors

    deeplearning machine learning word2vec doc2vec word vectors embeddings classification
    This example shows how to transform a document into a vector using a word vector model and using these vectors for class…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 01_DL4J > 07_Simple_Document_Classification_Using_Word_Vectors

  4. Performing a k-Medoids clustering

    clustering k-Medoids machine learning data mining
    This workflow shows how to perform a clustering of the iris dataset using the k-Medoids node.
    shima0011 > 04_Analytics > 03_Clustering > 02_Performing_a_k-Medoids_Clustering

  5. 2019_08_07_K_MeansWithDistances

    iris > ExamplesForTheForum > 2019_08_07_K_MeansWithDistances

  6. Four Techniques for Outlier Detection

    We use a sample of the airline data to detect outlier airports based on the average arrival delay in them. The technique…
    knime > Examples > 02_ETL_Data_Manipulation > 01_Filtering > 07_Four_Techniques_Outlier_Detection > Four_Techniques_Outlier_Detection

  7. Performing a k-Medoids clustering

    clustering k-Medoids machine learning data mining
    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

  8. Anonymize Personal Data

    GDPR Customer Intelligence Legal Law Privacy
    This example shows one way of anonymizing data. it uses the approved adults data set. For this example, distance matrix …
    knime > Examples > 50_Applications > 34_GDPR_examples > 02_Anonymize_personal_data