Automated Exploratory Clustering to Democratize Clustering Analysis

Automated Exploratory Clustering to Democratize Clustering Analysis

AutoML is enabling many practitioners to use sophisticated Machine Learning pipelines even without being experienced in building application-specific solutions. Adapting AutoML to the field of unsupervised learning, particularly to the task of clustering, is challenging, as clustering is highly subj...

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Bibliographic Details
Main Authors: Georg Stefan Schlake, Max Pernklau, Christian Beecks
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
automated clustering
AutoML
skyline operator
clustering validation
human in the loop
automated exploratory clustering
Online Access:https://www.mdpi.com/2076-3417/15/12/6876
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