Abstract
We present a fast approximate Minimum spanning tree(MST) framework on the complete graph of a dataset with N points, and any exact MST algorithm can be incorporated into the framework and speeded up. It employs a divide-and-conquer scheme to produce an approximate MST with theoretical time complexity of O(N 1.5), if the incorporated exact MST algorithm has the running time of O(N 2). Experimental results show that the proposed approximate MST algorithm is computational efficient, and the accuracy is close to the true MST.
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Zhong, C., Malinen, M., Miao, D., Fränti, P. (2013). Fast Approximate Minimum Spanning Tree Algorithm Based on K-Means. In: Wilson, R., Hancock, E., Bors, A., Smith, W. (eds) Computer Analysis of Images and Patterns. CAIP 2013. Lecture Notes in Computer Science, vol 8047. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40261-6_31
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DOI: https://doi.org/10.1007/978-3-642-40261-6_31
Publisher Name: Springer, Berlin, Heidelberg
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