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English
How analytics helps NVWA become more data-driven and effective
In the public sector, agencies and organizations are increasingly using analytics to prioritize and plan their activities. In a sector characterized by the need to get value for money for the public, and often with limited resources, using data-driven work processes is essential. The NVWA, Dutch Food and Consumer Product
SAS® Fast-KPCA: An efficient and innovative nonlinear principal components method
SAS® Fast-KPCA implementation bypasses the limitations of exact KPCA methods. SAS® internally uses k-means to find a representative sample of a subset of points. This row reduction method has the advantage that c centroids are chosen to minimize the variation of points nearest to each centroid and maximize the variation to the other cluster centroids. In some cases, the downstream effect of using k-means on computing the SVD increases numerical stability and improves clustering, discrimination, and classification.