Advanced Analytics | Machine Learning
Kevin Scott 0
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.

Advanced Analytics | Analytics | Students & Educators
Brock Matthews 0
Innovative higher education analytics projects and influential tech leaders honored by EdScoop

Higher Education has been slow to adopt analytics in comparison to the commercial sector, but those institutions that have embraced a culture of analytics have seen significant and tangible results. Higher Education analytics can help in nearly every corner of academia including enrollment and retention, student success, academic research and

Advanced Analytics | Analytics
Jen Dunham 0
3 ways NCDOT is transforming transportation through data and analytics

With dynamically changing revenue streams, critical infrastructure needs and current higher-than-average gas prices and inflation concerns, transportation agencies around the country are using data to enable analytically driven decisions while navigating complex business challenges. Today's transportation industry is ripe with opportunities for innovation and growth. And this is especially true

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