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Understanding of Internal Clustering Validation Measures
datamining.rutgers.eduas one of the vital issues essential to the success of clus-tering applications. In general, clustering validation can be categorized into two classes, external clustering validation and internal clustering validation. In this paper, we focus on internal clustering validation and present a detailed study of
Abstract - arxiv.org
arxiv.orgWe compare the average IOU to closest prior of our clus-tering strategy and the hand-picked anchor boxes in Table1. At only 5 priors the centroids perform similarly to 9 anchor boxes with an average IOU of 61.0 compared to 60.9. If we use 9 centroids we see a much higher average IOU. This indicates that using k-means to generate our bounding box