OPTIMIZATION OF K-MEANS CLUSTERING USING GENETIC ALGORITHM

Dwivedi, Gaurav

ISBN 10: 6206737047 / ISBN 13: 9786206737049

Editore: LAP LAMBERT Academic Publishing, 2023

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Codice articolo 26404253330

Dati bibliografici

• Titolo: OPTIMIZATION OF K-MEANS CLUSTERING USING GENETIC ALGORITHM
• Editore: LAP LAMBERT Academic Publishing
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 6206737047
• ISBN 13: 9786206737049
• Rilegatura: Brossura
• Condizione: New

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Riassunto

Over the course of time, a tremendous amount of data is accumulated. Information extraction is one of the most time-consuming processes because it varies greatly depending on the user's requirements. Data mining's varied approaches are employed to compile relevant data and present it in a digestible fashion for end users. Clustering and classification are two data mining techniques used to uncover previously unseen patterns and insights.This summary discusses the use of data mining techniques, specifically clustering and classification, to extract relevant information from accumulated data. It highlights the importance of selecting a suitable clustering algorithm and introduces the concept of using a genetic algorithm to improve the k-means clustering method. The proposed method aims to optimize the clustering process and demonstrates its effectiveness through a scenario-based test. The summary concludes by suggesting future research to further optimize the k-means algorithm using various evolutionary methods.