Infoworks 6.1.3
Prepare Data
Documentation for Versions 2.x, 3.1.
Introduction
Creating a Pipeline
Designing a Pipeline
Building A Pipeline
CREATING A PIPELINE GROUP
BUILDING A PIPELINE GROUP
Pipeline Settings
PIPELINE GROUP SETTINGS
Functions Library
EXTERNAL LIBRARY

Performing K-Means Clustering

This unsupervised learning algorithm partitions observations into k clusters.

NOTE The K-Means Clustering node is not supported for pipelines in snowflake environment.

Following are the steps to apply K-Means Clustering node in pipeline:

  1. Double-click the K-Means Clustering node. The properties page is displayed.
  2. Click Edit Properties, enter the details and click Save.

3. Click Normalization. The list of normalizations are displayed.

  1. Click *_Add Normalization *_and enter the required normalization properties.
  2. Click Save.
  Last updated by Prerana Dutta on Jan 28, 2022
Next to read:
Performing Random-Forest Classification

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Performing K-Means Clustering