KNN

Emotion Recognition from EEG Signals Based on Weighted KNN Algorithm

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Emotion Recognition from EEG Signals Based on Weighted KNN Algorithm

Authors: Cai Jing, Yuan Shouguo, Li Rui, Xu Menghui Affiliations: 1. Jilin University, School of Instrument Science and Electrical Engineering, Changchun, Jilin 130061. Abstract: Emotions are closely related to human behavior, family, and society. Emotions not only reflect various feelings, thoughts, and behaviors of humans but also represent psychological and physiological responses generated by various … Read more

KNN: The K-Nearest Neighbors Classification Algorithm

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Hello, friends! This is the Information Engineering College Knowledge Lecture, and it’s our first meeting with you. Without further ado, let’s dive straight into the segment where we bring you some computer knowledge! This week’s “Weekly Lesson” is presented by Sun Rongyue from the 2021 Class of Computer Science and Technology 2. He will explain … Read more

Innovative Diffusion-Type PPB Interface in KNN Piezoelectric Ceramics

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Innovative Diffusion-Type PPB Interface in KNN Piezoelectric Ceramics

In recent years, inspired by the high piezoelectric response at the MPB interface in lead-containing PZT-based ceramics, researchers have successfully constructed a polycrystalline phase boundary (PPB) in KNN-based ceramics, significantly improving the piezoelectric coefficient of KNN-based piezoelectric ceramics. However, KNN-based ceramics developed using the PPB phase boundary strategy often exhibit instability in the d33 temperature. … Read more

Improving Chinese Text Classification Algorithm Using Word Vectors and kNN

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Improving Chinese Text Classification Algorithm Using Word Vectors and kNN

Ding Zhengsheng， Ma Chunjie （Xi’an University of Science and Technology， Shanxi Xi’an 710600） Abstract: In order to improve the efficiency and accuracy of Chinese text classification, a Chinese text classification algorithm based on deep learning is established in response to the characteristics of Chinese characters and the dramatic increase in data volume in the big … Read more

KNN-Based Lead-Free Ferroelectric Energy Storage Ceramics

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KNN-Based Lead-Free Ferroelectric Energy Storage Ceramics

Research Background In recent years, the energy density and efficiency of dielectric energy storage ceramics with high operating voltage, fast charge-discharge capability, and good high-temperature stability have been continuously improved, showing great application potential in fields such as high-energy pulse power. Particularly, the development of relaxor ferroelectrics has further accelerated the application progress of dielectric … Read more

A Practical Guide to Implementing K-Nearest Neighbors Algorithm for Regression

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A Practical Guide to Implementing K-Nearest Neighbors Algorithm for Regression

Author: AISHWARYA SINGH, AUGUST 22, 2018 Translator: ZHAO XUEYAO Proofreader: ZHANG LING This article is approximately 4200 words, and is recommended for a 10 minute read. This article explains the basic working principle of the K-Nearest Neighbors (KNN) algorithm and briefly introduces three methods for calculating the distance between points. Introduction Among all the machine … Read more

Implementing K-Nearest Neighbors Algorithm in Python

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K-Nearest Neighbor (KNN) classification algorithm is a theoretically mature method and one of the simplest machine learning algorithms. The idea behind this method is: in the feature space, if the majority of the k nearest samples (i.e., the closest samples in the feature space) around a sample belong to a certain category, then that sample … Read more

Principles and Methods of Defect Detection Based on Machine Vision

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Principles and Methods of Defect Detection Based on Machine Vision

Statistical Classification Methods: (1) Based on KNN (K-Nearest Neighbors): Use similarity to find the k nearest training samples, then score and rank them by score. (2) Based on Naive Bayes Algorithm: Calculate probabilities to build classification models. Guidance: A doctor diagnosing a patient is a typical classification process. No doctor can directly see a patient’s … Read more

Introduction to KNN Algorithm

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Introduction to KNN Algorithm

KNN algorithm, or K-Nearest Neighbor (KNN) classification algorithm, is simply a method of classification by measuring the distance between different feature values. KNN is a very fundamental algorithm in the field of machine learning that can solve classification or regression problems. If you are just starting to learn machine learning, KNN is a very good … Read more

Achieving Synergistic Enhancement of Piezoelectric Properties in KNN-based Ceramics

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Achieving Synergistic Enhancement of Piezoelectric Properties in KNN-based Ceramics

K sodium niobate(KNN)-based lead-free piezoelectric ceramics have become one of the most promising alternatives to lead-based piezoelectric ceramics due to their excellent piezoelectric properties, high Curie temperature, and simple preparation process. Piezoelectric ceramic devices such as ultrasonic transducers need to withstand large mechanical loads during operation, which can easily lead to microcracks and fracture failure … Read more