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YouTubeLearn Statistics with Mustafa
Two 2D and Three Dimensional3D PCA Visualizations of the Iris Dataset
This video presents two-dimensional (2D) and three-dimensional (3D) Principal Component Analysis (PCA) biplots of the Iris dataset. PCA is used to reduce dimensionality and reveal the main patterns of variation among morphological traits. The 2D biplot highlights the primary gradients structuring the data, while the 3D biplot provides an ...
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Replying to @crokat1919 Anatomy of a PCA Stroke: From Heart to Vision Loss Posterior circulation anatomy is vital for accurately localizing salient strokes. Common PCS etiologies (PCA/BA/VA): • Cardioembolic: AF/LAA clot • Artery→artery: VA/BA/PCA atherosclerosis • Dissection (VA) ± neck trauma/manip • Small-vessel: thalamic/perforators • Hypoperfusion: vertebrobasilar stenosis RF: smoking HLD HTN DM. Clues: HH, diplopia, vertigo/ataxia, dysarthria, AMS/thalamic pain. @Kevin Kern, DC #neurointer
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Replying to @crokat1919 Anatomy of a PCA Stroke: From Heart to Vision Loss Posterior circulation anatomy is vital for accurately localizing salient strokes. Common PCS etiologies (PCA/BA/VA): • Cardioembolic: AF/LAA clot • Artery→artery: VA/BA/PCA atherosclerosis • Dissection (VA) ± neck trauma/manip • Small-vessel: thalamic/perforators • Hypoperfusion: vertebrobasilar stenosis RF: smoking HLD HTN DM. Clues: HH, diplopia, vertigo/ataxia, dysarthria, AMS/thalamic pain. @Kevin Kern, DC #neurointer
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