This repository contains multiple machine learning projects where different algorithms like SVM, Decision Trees, KNN, and Random Forest are applied on datasets such as Iris and MNIST. SVM (Support ...

KNN is a supervised machine learning algorithm that classifies new data points based on the majority class of their K nearest neighbors. While KNN is primarily known for classification, it can ...

This is a implementation of the KNN K-Nearest-Neighbors machine learning algorithm in C++. The primary goal is to have a simple, tested and fast implementation of KNN that can be used in IoT (Internet ...

2) The isometric mapping dataset was categorized using fuzzy c-means clustering as an unsupervised machine learning approach to reduce the minor spectral heterogeneity impact in homogenous areas. 3) ...

Tweaking machine learning algorithms and models won't always be for experts only, thanks to these cutting-edge projects Topics Spotlight: New Thinking about Cloud Computing ...

SVM and kNN exemplify several important trade-offs in machine learning (ML). SVM is often less computationally demanding than kNN and is easier to interpret, but it can identify only a limited set ...

First proposed by the US Air Force School of Aviation Medicine in 1951, and having to accommodate itself to the state-of-the-art of mid-20th century computing hardware, K-Nearest Neighbors (KNN) is a ...

New machine learning algorithm promises advances in computing Digital twin models may enhance future autonomous systems Date: May 9, 2024 Source: Ohio State University ...