Document Clustering using Self-Organizing Maps

Document Clustering using Self-Organizing Maps

Cluster analysis of textual documents is a common technique for better ltering, navigation, under- standing and comprehension of the large document collection. Document clustering is an autonomous method that separate out large heterogeneous document collection into smaller more homogeneous sub-col...

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Bibliographic Details
Main Authors: Muhammad Rafi, Muhammad Waqar, Hareem Ajaz, Umar Ayub, Muhammad Danish
Format: Article
Language:English
Published: Brno University of Technology 2017-06-01
Series:Mendel
Subjects:
Document Clustering
Text Mining
Neural Network
Unsupervised Learning
Self-Organizing Maps
Layered Approach
Online Access:https://mendel-journal.org/index.php/mendel/article/view/61

Internet

https://mendel-journal.org/index.php/mendel/article/view/61

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