Hub
Pricing About
ComponentComponent

K Means VAL

Teradata Team profile image
Draft Latest edits on 
Mar 28, 2024 5:15 PM
Drag & drop
Like
Use or download
The function performs fast K-Means clustering algorithm and returns cluster means and averages. Specifically, the rows associated with positive cluster IDs in output contain the average values of each of the clustered columns and the count for each cluster ID. The rows associated with negative cluster IDs contain the variance of each of the clustered columns for each cluster ID. There is an additional optional input table that specifies the dataset containing clustering output.

Component details

Input ports
  1. Type: DB Session
    Teradata Connection
    Connection to a Teradata Database Instance
  2. Type: Table
    K Means VAL input
    K Means VAL input
  3. Type: Table
    Centroids Data
    K Means VAL input
Output ports
  1. Type: Table
    K Means VAL output
    K Means VAL output

Used extensions & nodes

Created with KNIME Analytics Platform version 4.7.0
  • Go to item
    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
  • Go to item
    KNIME DatabaseTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
  • Go to item
    KNIME Python IntegrationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
  • Go to item
    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime

This component does not have nodes, extensions, nested components and related workflows

Legal

By using or downloading the component, you agree to our terms and conditions.

KNIME
Open for Innovation

KNIME AG
Talacker 50
8001 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • Courses + Certification
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more about KNIME Business Hub
© 2025 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Data Processing Agreement
  • Credits