RANSAC, OLS, PCA: 3 Ways to Draw a Straight Line Across a Set of Points

Written by dmitriikhizbullin | Published 2021/05/20
Tech Story Tags: autonomous-driving | python | data-science | ordinary-least-squares | pca | software-engineering | computer-vision | autonomous-cars

TLDR The task is phrased as linear regression: finding a straight line that regresses our set of points. In this article, we will look into 3 solutions coded in Python and NumPy and compare them. RANSAC is a method of finding a consensus that is based on random samples. PCA Analysis is often used for dimensionality reduction when we need to find an affine transform of a point in a way of reducing the variance in a given point in most cases. The Principal Component Analysis (PCA), PCAA, PCAPCA and PCA are all solutions to the problem.via the TL;DR App
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Written by dmitriikhizbullin | Researcher / Engineer with 10+ YoE in deep learning, computer vision, and autonomous driving
Published by HackerNoon on 2021/05/20
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