From: https://towardsdatascience.com/graph-laplacian-and-its-application-in-machine-learning-7d9aab021d16 This article highlights graphs, properties of its representations and its application in Machine learning to perform Spectral clustering. Introduction A graph is a data structure with nodes connected to each other through directed or undirected edges. The edges can have weights to represent for eg. the distance between 2 cities for a graph … Continue reading Graph Laplacian and its application in Machine learning →