Text Document Clustering: A Hard and Soft Computing Approach - Ulhaskumar Patki,S. B. Kishor,Ajay Kurhe
-35% koodilla BOOKS
Toimitus 15-21 arkipäivässä
30 päivän palautusoikeus
This Book provides a thorough overview of the document clustering techniques used in Text mining. It focuses on the different phases of document clustering: Pre-processing, Feature extraction, Feature selection and Clustering. It narrates the different methodologies applied in clustering process. The book acquaints the research students with the different soft and hard computing approaches that are most com ... Täydellinen kuvaus
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Kuvaus
This Book provides a thorough overview of the document clustering techniques used in Text mining. It focuses on the different phases of document clustering: Pre-processing, Feature extraction, Feature selection and Clustering. It narrates the different methodologies applied in clustering process. The book acquaints the research students with the different soft and hard computing approaches that are most commonly used while carrying out their researches in various areas. The text book also contains the data flow diagrams for document clustering, recall precision rates and Inter-relationship between Research Papers. It also includes MatLab code for document clustering process. This book clears the ideas about the fuzzy clustering technique and its applicability in the document clustering process.
Lisätietoja
| Kirjoittaja | Ulhaskumar Patki, S. B. Kishor, Ajay Kurhe |
|---|---|
| Julkaisija | LAP LAMBERT Academic Publishing |
| Julkaisuvuosi | 2022 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9786204745381 |