Abstract
The paper presents the issue of selection of the resistance spot-welding machines, stating that there is no objective method of supporting the decision to purchase such devices. The application of cluster analysis method has been suggested for solving the problem. Diagnostic data describing 35 resistance spot-welding machines have been collected and then their classification has been made by the Ward and k-means methods. Based on the results, it has been concluded, that the cluster analysis can be an effective preliminary method of supporting the decision of purchasing resistance spot-welding machines.
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