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Despite an increasing consensus regarding the significance of properly identifying the most suitable clustering method for a given problem, a surprising amount of educational research, including both ...
Aim This study evaluates if characteristics (eg, location, size, volume) of clusters of defects on an initial visual field ...
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In view of this, this article proposes a PCM clustering algorithm based on the Mahalanobis-Kernel Distance and the suppressed competitive learning strategy. To begin with, the Mahalanobis-Kernel ...
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