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TechAnnouncer2d
Mastering Offensive and Defensive Strategies with Python for Cyber Security
Python really shines when it comes to automating repetitive tasks. Think about it: scanning networks, fuzzing applications, ...
University of Stirling3mon
PL-kNN: A Python-based implementation of a parameterlessk-Nearest Neighbors classifier
This paper presents an open-source implementation of PL-kNN, a parameterless version of the k-Nearest Neighbors algorithm. The proposed model, developed in Python 3.6, was designed to avoid the choice ...
GitHub1y
knn-python · GitHub Topics · GitHub
This project aims to build a complete pattern recognition system to solve classification problems using the k-Nearest Neighbors (KNN) algorithm. To classify chest X-ray images into three categories: ...
IEEE2y
Improving KNN Algorithm Efficiency Based on PCA and KD-tree
The new KNN algorithm is applied in two experiments through python. The result shows that the efficiency of the new KNN algorithm is improved greatly under certain situations and its accuracy also has ...
Frontiers2y
Application of KNN-based isometric mapping and fuzzy c-means algorithm to predict short-term rockburst risk in deep underground projects - Frontiers
Thirdly, K-Nearest neighbor (KNN) was employed to anticipate different levels of short-term rockburst datasets. The KNN's classification performance was examined using several performance metrics. ...
Scientific Research Publishing4y
Basic Tenets of Classification Algorithms K-Nearest-Neighbor, Support Vector Machine, Random Forest and Neural Network: A Review - Scientific Research Publishing
Abstract. In this paper, sixty-eight research articles published between 2000 and 2017 as well as textbooks which employed four classification algorithms: K-Nearest-Neighbor (KNN), Support Vector ...