A GREEDY CLUSTERING ALGORITHM BASED ON INTERVAL PATTERN CONCEPTS AND THE PROBLEM OF OPTIMAL BOX POSITIONING

A Greedy Clustering Algorithm Based on Interval Pattern Concepts and the Problem of Optimal Box Positioning

A Greedy Clustering Algorithm Based on Interval Pattern Concepts and the Problem of Optimal Box Positioning

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We consider a clustering approach based life extension blueberry extract on interval pattern concepts.Exact algorithms developed within the framework of this approach are unable to produce a solution for high-dimensional data in a reasonable time, so we propose a fast greedy algorithm which solves the problem in geometrical reformulation and shows a good rate of convergence and adequate accuracy for experimental read more high-dimensional data.Particularly, the algorithm provided high-quality clustering of tactile frames registered by Medical Tactile Endosurgical Complex.

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