关键词: 神经网络, 弹性网络, 聚类分析

Abstract: The elastic net algorithm as a heuristic method initially applied to solve the traveling salesman problem, can be used as a tool for data clustering in [n]-dimensional space. In this paper, a new Elastic Net Approach（AEN）is proposed to solve the cluster analysis problem. The algorithm gets [K] points as the initial centroids and updates the centroids according to the local search preferred algorithm in each iteration. Simulation results are provided for instances of up to 1,000 points randomly generated in different dimensions, illustrating that the proposed method performs better than the traditional clustering algorithms in solution quality.

Key words: neural network, elastic net algorithm, cluster analysis