This file contains information to introduce you to the Clustering Library. Please note that this library is not formally released, and is therefore not supported by National Instruments. This library is a set of VIs and demos designed as starting points for clustering analysis in LabVIEW.
The goal of clustering is to partition data samples into different classes according to the samples' mutual similarity. First, a distance metric is defined to measure similarity. Next, by minimizing the overall cost, you can determine the centroids and partition scheme. This process is often iterative and the cluster centroids will converge after several iterations. Possible applications of clustering include pattern recognition, data compression, image segmentation, and so on.
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