Atharva Patange

Add edmonds blossom algo

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Overview This implementation defines Edmonds’ Blossom Algorithm in R for computing the maximum matching in general (non-bipartite) graphs. The algorithm finds the largest set of edges without shared vertices, handling...

Feat-CNN

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Overview This implementation defines a Convolutional Neural Network (CNN) in R using the Keras library. The CNN is designed to automatically extract spatial and hierarchical features from image data for...

Add store wanger

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Overview This implementation defines the Stoer-Wagner algorithm in R for computing the global minimum cut of an undirected weighted graph. The algorithm identifies the smallest set of edges whose removal...

Add Gaussian Process Regression

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Overview This implementation defines a Gaussian Process (GP) regression model in R using the kernlab package. GP is a non-parametric Bayesian regression algorithm that predicts continuous outputs while providing uncertainty...