Deep Embedded Clustering Framework for Mixed Data

Deep Embedded Clustering Framework for Mixed Data

Deep embedded clustering (DEC) is a representative clustering algorithm that leverages deep-learning frameworks. DEC jointly learns low-dimensional feature representations and optimizes the clustering goals but only works with numerical data. However, in practice, the real-world data to be clustered...

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Bibliographic Details
Main Authors: Yonggu Lee, Chulwung Park, Shinjin Kang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Clustering algorithm
mixed data
deep learning
Online Access:https://ieeexplore.ieee.org/document/9999360/

Internet

https://ieeexplore.ieee.org/document/9999360/

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