Wildland-urban fire disasters aren’t actually a wildfire problem
David E. Calkin, Kimiko Barrett, Jack D. Cohen, Mark A. Finney, Stephen J. Pyne, Stephen L. Quarles
Abstract
Dimensionality reduction simplifies high-dimensional data into a small number of representative patterns. One dimensionality reduction method, principal component analysis (PCA), often selects oscillatory or U-shaped patterns, even when such ...Principal component analysis (PCA) is a dimensionality reduction method that is known for being simple and easy to interpret. Principal components are often interpreted as low-dimensional patterns in high-dimensional space. However, this simple ...
Topics & Concepts
Principal component analysisDimensionality reductionCurse of dimensionalitySimple (philosophy)Principal (computer security)Computer scienceReduction (mathematics)Space (punctuation)Pattern recognition (psychology)Artificial intelligenceMathematicsComputer securityGeometryPhilosophyOperating systemEpistemologyFire effects on ecosystemsLandslides and related hazardsFire dynamics and safety research