Hub
Pricing About
NodeNode / Manipulator

String Distances

AnalyticsDistance CalculationDistance Functions
Drag & drop
Like

Distance definition on a string column, like for instance Levenshtein distance. Additional parameters can be set based on the selected distance function. The available distance measures are:

Levenshtein Distance: The Levenshtein distance is one of the famous string metrics for measuring the difference between two strings. It is the minimum number of operations (i.e. deletions, insertions or substitutions) performed on a single character to transform one of the strings into the other.

Jaro-Winkler Distance: The Jaro-Winkler distance is a common measure for the difference between two strings. It is important to note that it is not actually a distance metric because it doesn't obey the triangle-inequality.

Tversky Distance: In contrast to the edit distances the n-gram Tversky index does not rely on single-operation counts, instead it models relations between neighbored letters.

Node details

Input ports
  1. Type: Table
    Input Table
    Input data.
Output ports
  1. Type: Distance Measure
    Distance Measure
    The configured distance.

Extension

The String Distances node is part of this extension:

  1. Go to item

Related workflows & nodes

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
© 2026 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Data Processing Agreement
  • Credits