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  Measure based metrics for aggregated data
 
 
Title: Measure based metrics for aggregated data
Author: Rayward-Smith, V.J.
Appeared in: Intelligent data analysis
Paging: Volume 15 (2011) nr. 2 pages 109-130
Year: 2011-03-21
Contents: Aggregated data arises commonly from surveys and censuses where groups of individuals are studied as coherent entities. The aggregated data can take many forms including sets, intervals, distributions and histograms. The data analyst needs to measure the similarity between such aggregated data items and a range of metrics are reported in the literature to achieve this (e.g. the Jaccard metric for sets and the Wasserstein metric for histograms). In this paper, a unifying theory based on measure theory is developed that establishes not only that known metrics are essentially similar but also suggests new metrics.
Publisher: IOS Press
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 1 of 1 found articles
 
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