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Ohad Cohen's Projects

2d-flooring-algorithm-with-variable-inputs icon 2d-flooring-algorithm-with-variable-inputs

The algorithm flooring an area of 2D dimension matrix with variable inputs. For each rectangle, the values of his width and height are separately uniform distributed between 20 to 100 cm, with jumping of 10 cm. The width and height of the area are 10x10.

kmeans-clustering icon kmeans-clustering

K-means clustering is a type of unsupervised learning, which is used when you have unlabeled data. The goal of this algorithm is to find groups in the data, with the number of groups represented by the variable K.

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