Command Pattern Classification Model Based on Experimental Data Mining

Abstract:

This paper builds sample analysis data sets through the analysis of specific commands behavior in command behavior experiment, and selects typical commanders as reference sample, proposes a command pattern classification model based on k-means clustering algorithms. The command model calculation is simple, easy for computer implementation, and is of great significance in understanding and mastering specific commanders characteristics, and application to practical operations and training.

• Periodical: Applied Mechanics and Materials (Volumes 543-547)
• Pages: 2377-2380
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.543-547.2377
• Online since: March 2014
• Authors: Zi Ming Wang*, Dong Li, Han Li Wang, Jing Li
• Keywords: Command Behavior Experiment, Command Mode, K-Means Clustering

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