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Welcome to NI Labs Clustering Library

The goal of clustering is to partition data samples into different classes according to the samples' mutual similarity. Possible applications of clustering include pattern recognition, data compression, image segmentation, and so on. This library is a preliminary version of Clustering Analysis in LabVIEW. This library implements several popular clustering algorithms such as K-means, Fuzzy C-means,Gaussian Mixture Model and so on. Several demos to show how to use the library are also provided.

 

Let us know what you think about the Clustering Library by replying to this thread with your feedback.

 

Thanks.

 

Zhijun Gu

Software Engineer

Message Edited by Support on 09-15-2008 12:17 PM
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