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Dwivedi Gaurav (116 results)
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OPTIMIZATION OF K-MEANS CLUSTERING USING GENETIC ALGORITHM
Published by LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206737047 ISBN 13: 9786206737049
Language: English
£ 42.81
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Optimisation du regroupement k-means à l aide d un algorithme génétique
Published by Editions Notre Savoir, 2023
ISBN 10: 6206931145 ISBN 13: 9786206931140
Language: French
£ 31.88
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Non Edible Oil Resources "As Fuel" for IC Engine
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10: 3659355402 ISBN 13: 9783659355400
Language: English
£ 60.79
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Analgesic And Inflammatory Activity Of Symphorema Polyandrum (Wight): Pharmacological Evaluation Of Symphorema Polyandrum (Wight) For Analgesic And Inflammatory Activity
Published by Lap Lambert Academic Publishing, 2012
ISBN 10: 3659264911 ISBN 13: 9783659264917
Language: English
Paperback. Condition: Brand New. 116 pages. 8.66x5.91x0.27 inches. In Stock.
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£ 116.15
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£ 126.15
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Optimierung des k-means Clustering mit Hilfe eines genetischen Algorithmus
Published by Verlag Unser Wissen Dez 2023, 2023
ISBN 10: 6206931056 ISBN 13: 9786206931058
Language: German
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
£ 39.29
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Add to basketTaschenbuch. Condition: Neu. Neuware -Im Laufe der Zeit sammelt sich eine enorme Menge an Daten an. Die Informationsextraktion ist einer der zeitaufwändigsten Prozesse, da sie je nach denAnforderungen des Nutzers sehr unterschiedlich ist . Die verschiedenen Ansätze des Data Mining werden eingesetzt, um relevante Daten zusammenzustellen und sie für den Endnutzer verständlich zu präsentieren. Clustering und Klassifizierung sind zwei Data-Mining-Techniken, mit denen bisher unbekannte Muster und Erkenntnisse aufgedeckt werden können.In dieser Zusammenfassung wird der Einsatz von Data-Mining-Techniken, insbesondere Clustering und Klassifizierung, erörtert, um relevante Informationen aus gesammelten Daten zu extrahieren. Es wird hervorgehoben, wie wichtig die Auswahl eines geeigneten Clustering-Algorithmus ist, und es wird das Konzept der Verwendung eines genetischen Algorithmus zur Verbesserung der k-means Clustering-Methode vorgestellt. Die vorgeschlagene Methode zielt auf die Optimierung des Clustering-Prozesses ab und demonstriert ihre Effektivität durch einen szenariobasierten Test. Die Zusammenfassung schließt mit Vorschlägen für zukünftige Forschungen zur weiteren Optimierung des k-means Algorithmus mit Hilfe verschiedener evolutionärer Methoden.Books on Demand GmbH, Überseering 33, 22297 Hamburg 60 pp. Deutsch.
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Tissue Engineering and Regenerative Medicine : Advances, and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Advancement in Materials, Manufacturing and Energy Engineering, Vol. II: Select Proceedings of ICAMME 2021 (Lecture Notes in Mechanical Engineering)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 212.02
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Hardcover. Condition: Brand New. 590 pages. 9.25x6.10x9.49 inches. In Stock.
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Advancement in Materials, Manufacturing and Energy Engineering, Vol. I: Select Proceedings of ICAMME 2021 (Lecture Notes in Mechanical Engineering)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 264.02
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Otimização do agrupamento k-means utilizando o algoritmo genético
Published by Edições Nosso Conhecimento, 2023
ISBN 10: 6206931153 ISBN 13: 9786206931157
Language: Portuguese
£ 31.88
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£ 31.88
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Optimización de la agrupación k-means mediante algoritmo genético
Published by Ediciones Nuestro Conocimiento Dez 2023, 2023
ISBN 10: 6206931072 ISBN 13: 9786206931072
Language: Spanish
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
£ 39.29
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Add to basketTaschenbuch. Condition: Neu. Neuware -Con el paso del tiempo, se acumula una enorme cantidad de datos. La extracción de información es uno de los procesos que más tiempo consume, ya que varía enormemente en función de lasnecesidades del usuario . Losdistintos enfoques de la minería de datos se emplean para recopilar datos relevantes y presentarlos de forma digerible para los usuarios finales. Laagrupación (clustering) y la clasificación son dos técnicas de minería de datos que se utilizan para descubrir patrones y perspectivas nunca antes vistos.En este sumario se analiza el uso de las técnicas de minería de datos, en concreto la agrupación y la clasificación, para extraer información relevante de los datos acumulados. Destaca la importancia de seleccionar un algoritmo de agrupación adecuado e introduce el concepto de utilizar un algoritmo genético para mejorar el método de agrupación k-means. El método propuesto pretende optimizar el proceso de agrupación y demuestra su eficacia mediante una prueba basada en un escenario. El resumen concluye sugiriendo futuras investigaciones para optimizar aún más el algoritmo k-means utilizando diversos métodos evolutivos.Books on Demand GmbH, Überseering 33, 22297 Hamburg 60 pp. Spanisch.
