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| Product Name | K-means clustering |
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| Description | K-means clustering is a method of vector quantization, resulting from signal processing, that is popular for cluster analysis in data mining. K-means clustering aims to divide n objects into k clusters in which each object belongs to the cluster with the nearest mean, serving as a prototype of the cluster. This results in a separation of the data space into Voronoi cells. Now, bioinformaticians at Creative Proteomics are proud to offer our customers Hierarchical Clustering Analysis service. |
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| Order / More Info | K-means clustering from CREATIVE PROTEOMICS |
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