uCCA (unsupervised Centroid Clustering Algorithm) is a project that combines image processing techniques and centroid analysis to study circular patterns in images in a semi-supervised manner. The ...
Cluster distribution: [[1.0, 59.0], [2.0, 65.0], [3.0, 54.0]] This output corresponds to the S matrix required in the original algorithm specification; a distribution of entities (rows) into clusters.
Abstract: Centroid algorithm, as relatively simple, depends upon the connectivity of WSN and nodes density, in which the error of node orientation is high, the ...
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