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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Text Clustering with Enhanced Novel Fast Seeds Affinity Propagation

Text Clustering with Enhanced Novel Fast Seeds Affinity Propagation

Krithika, M. Meena

Paperback

General Computers

ISBN10: 6209106757
ISBN13: 9786209106750
Publisher: LAP Lambert Academic Publishing
Published: Nov 17 2025
Pages: 56
Weight: 0.19
Height: 0.13 Width: 6.00 Depth: 9.00
Language: English
Text clustering is an essential technique in text mining and natural language processing for organizing large volumes of unstructured data into meaningful groups. Traditional clustering algorithms often face challenges in scalability, efficiency, and accuracy when dealing with high-dimensional text data. This work proposes an enhanced approach using Novel Fast Seeds Affinity Propagation (NFAP) to improve clustering performance. By introducing optimized seed selection, the method accelerates convergence, reduces computational complexity, and enhances the quality of cluster formation. Experimental results demonstrate that the proposed model achieves superior clustering accuracy and efficiency compared to standard affinity propagation methods, making it suitable for large-scale text mining applications.

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