We consider a clustering approach 5326058hx based 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 voyage et cie discount code good rate of convergence and adequate accuracy for experimental high-dimensional data.Particularly, the algorithm provided high-quality clustering of tactile frames registered by Medical Tactile Endosurgical Complex.