Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering

Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering

<p dir="ltr">Clustering has proved to be a successful classification method when it comes to dealing with multiview data. Each method and technique tries to achieve efficiency and accuracy in classifying the multiview data. Multi-source data contains noise and divergence. Another pro...

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Bibliographic Details
Main Author: Saadia Jamil (22045946) (author)
Other Authors: Eid Rehman (22045949) (author), Tariq Shahzad (21632645) (author), Muhammad Ishtiaq (509503) (author), Tehseen Mazhar (19332663) (author), Yazeed Yasin Ghadi (22045952) (author), Arfan Ahmed (17541309) (author)
Published: 2024
Subjects:
Information and computing sciences
Artificial intelligence
Machine learning
Self organizing map
multiview
clustering
classification
pipeline
Clustering methods
Noise measurement
Clustering algorithms
Computer science
Self-organizing feature maps
Dimensionality reduction
Classification algorithms
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