Paperback, [PU: LAP Lambert Academic Publishing], This report presents an integrated outlier detection method, which is named "An Approach to Detect Outlier by Integrating Univariate Outl… Mehr…
Paperback, [PU: LAP Lambert Academic Publishing], This report presents an integrated outlier detection method, which is named "An Approach to Detect Outlier by Integrating Univariate Outlier Detection and K-means Algorithm." It provides efficient outlier detection and data clustering capabilities in the presence of outliers, and based on filtering of the data after univariate analysis. This algorithm is divided into two stages. The first stage provides Univariate outlier analysis. The main objective of the second stage is an iterative removal of objects, which are far away from their cluster centroids by applying K-means algorithm. The removal occurs according to the minimisation of the value of sum of the distances of all the points to their respective centroid in all the clusters. Finally, we provide experimental results from the application of our algorithm on several datasets to show its effectiveness and usefulness. The empirical results indicate that the proposed method was successful in detecting outliers and promising in practice., Computing: General<
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Paperback, [PU: LAP Lambert Academic Publishing], This report presents an integrated outlier detection method, which is named "An Approach to Detect Outlier by Integrating Univariate Outl… Mehr…
Paperback, [PU: LAP Lambert Academic Publishing], This report presents an integrated outlier detection method, which is named "An Approach to Detect Outlier by Integrating Univariate Outlier Detection and K-means Algorithm." It provides efficient outlier detection and data clustering capabilities in the presence of outliers, and based on filtering of the data after univariate analysis. This algorithm is divided into two stages. The first stage provides Univariate outlier analysis. The main objective of the second stage is an iterative removal of objects, which are far away from their cluster centroids by applying K-means algorithm. The removal occurs according to the minimisation of the value of sum of the distances of all the points to their respective centroid in all the clusters. Finally, we provide experimental results from the application of our algorithm on several datasets to show its effectiveness and usefulness. The empirical results indicate that the proposed method was successful in detecting outliers and promising in practice., Computing: General<
Detecting Outliers: A Univariate Outlier and K-Means Approach ab 35.99 € als Taschenbuch: . Aus dem Bereich: Bücher, English, International, Gebundene Ausgaben, Medien > Bücher, LAP Lamb… Mehr…
Detecting Outliers: A Univariate Outlier and K-Means Approach ab 35.99 € als Taschenbuch: . Aus dem Bereich: Bücher, English, International, Gebundene Ausgaben, Medien > Bücher, LAP Lambert Academic Publishing<
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This report presents an integrated outlier detection method, which is named An Approach to Detect O....
Detailangaben zum Buch - Detecting Outliers: A Univariate Outlier and K-Means Approach
EAN (ISBN-13): 9783659391842 ISBN (ISBN-10): 3659391840 Gebundene Ausgabe Taschenbuch Erscheinungsjahr: 2013 Herausgeber: LAP LAMBERT Academic Publishing
Buch in der Datenbank seit 2014-03-27T13:31:44+01:00 (Berlin) Detailseite zuletzt geändert am 2023-09-07T15:53:09+02:00 (Berlin) ISBN/EAN: 9783659391842
ISBN - alternative Schreibweisen: 3-659-39184-0, 978-3-659-39184-2 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: pathak Titel des Buches: yes means yes, outliers
