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Principal Component Analysis Algorithm by Khanchandani Khushi (5 results)
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Principal Component Analysis: An Algorithm for Image Recognition
Language: English
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200436142 ISBN 13: 9786200436146
Condition: New.
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Principal Component Analysis | An Algorithm for Image Recognition
Language: English
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200436142 ISBN 13: 9786200436146
Taschenbuch. Condition: Neu. Principal Component Analysis | An Algorithm for Image Recognition | Khushi Khanchandani | Taschenbuch | 52 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200436146 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
-
Principal Component Analysis: An Algorithm for Image Recognition
Language: English
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200436142 ISBN 13: 9786200436146
Condition: New. Print on Demand.
-
Principal Component Analysis: An Algorithm for Image Recognition
Language: English
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200436142 ISBN 13: 9786200436146
Condition: New. PRINT ON DEMAND.
-
Principal Component Analysis : An Algorithm for Image Recognition
Language: English
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200436142 ISBN 13: 9786200436146
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - It has been observed that there are various factors that act as challenges in the process of image recognition like illumination, size, orientation, etc. In recent years, a new view-based approach to image recognition has been developed. In this book, we have analysed Principal Component Analysis, which is one of the most widely used algorithm for image recognition.The origins of PCA lie in multivariate data analysis; however, it has a wide range of other applications. PCA has been called having one of the most important results from applied linear algebra and perhaps its most common use is as the first step in trying to analyse large data sets. An experiment is described which is conducted to classify the images based on training data set of and observing the accuracy and time taken by the algorithm based on principal component analysis.
