Domenico Daniele Bloisi and Luca Iocchi Sapienza University of Rome Dipartimento di Informatica e Sistemistica via Ariosto 25, 00185 Rome, Italy - PowerPoint PPT Presentation

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Domenico Daniele Bloisi and Luca Iocchi Sapienza University of Rome Dipartimento di Informatica e Sistemistica via Ariosto 25, 00185 Rome, Italy

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Rek-means A k-means Based Clustering Algorithm Domenico Daniele Bloisi and Luca Iocchi Sapienza University of Rome Dipartimento di Informatica e Sistemistica – PowerPoint PPT presentation

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Title: Domenico Daniele Bloisi and Luca Iocchi Sapienza University of Rome Dipartimento di Informatica e Sistemistica via Ariosto 25, 00185 Rome, Italy


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Domenico Daniele Bloisi and Luca IocchiSapienza
University of RomeDipartimento di Informatica e
Sistemisticavia Ariosto 25, 00185 Rome, Italy
Rek-means A k-means Based Clustering Algorithm
The Algorithm Rek-means is a new clustering
method based on k-means that has been implemented
on the ARGOS video surveillance system in the
city of Venice.
K-means limitations in using k-means, one
encounters a major difficulty, i.e., how to
choose the k initial clusters.
k-means centroids
true centroids
Rek-means The prefix "Re" stands for rectangle.
AD-Test a validating test is performed using the
Anderson-Darling Statistic.
  • Experiments several tests show the effectiveness
    of Rek-means in correctly
    distinguishing boats
    that are very close.
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