[Pytroch] Data classification prediction based on K proximity algorithm (Excel can directly replace data)

Internet 2023-08-19 18:15:07 views: null

[Pytroch] Data classification prediction based on K proximity algorithm (Excel can directly replace data)

1. Model Principle
2. Mathematical formula
3. File structure
4. Excel data
5. Download address
6. Complete code
7. Running results

1. Model Principle

K-Nearest Neighbors (KNN for short) is a simple but commonly used machine learning algorithm for classification and regression problems. Its core idea is to perform classification prediction by measuring the distance between samples based on the existing training data. When implementing the KNN algorithm, PyTorch can be used for calculation and operation.

The following are the general steps to implement the KNN algorithm using PyTorch:

Prepare the data set: First, you need to prepare the training data set, including sample features and corresponding labels.
Calculate the distance: For each sample to be predicted, calculate its distance from each sample in the training dataset. Common distance metrics include Euclidean distance, Manhattan distance, etc.
Sorting and selection: sort the calculated distances in ascending order, and select the K samples with the closest distance.
Voting or averaging: For classification problems, select the category that appears most among K samples as the prediction result; for regression problems, select the average of the labels of K samples as the prediction result.

2. Mathematical formula

Guess you like

Origin blog.csdn.net/Gyangxixi/article/details/132262144

[Pytroch] Data classification prediction based on K proximity algorithm (Excel can directly replace data)

[Pytroch] Data classification prediction based on support vector machine algorithm (Excel can directly replace data)

[Pytroch] Data classification prediction based on K proximity algorithm (Excel can directly replace data)

[Pytroch] Data classification prediction based on K proximity algorithm (Excel can directly replace data)

[Sklearn] Data classification prediction based on decision tree algorithm (Excel can directly replace data)

[Sklearn] Data classification prediction based on logistic regression algorithm (Excel can directly replace data)

[Sklearn] Data classification prediction based on the most central classifier algorithm (Excel can directly replace the data)

[Sklearn] Data classification prediction based on random forest algorithm (Excel can directly replace data)

[Sklearn] Data classification prediction based on support vector machine algorithm (Excel can directly replace data)

[Matlab] Data classification prediction based on long short-term memory network (Excel can directly replace data)

[Matlab] Based on the particle swarm optimization algorithm to optimize the data regression prediction of BP neural network (Excel can directly replace the data)

[Matlab] Based on the particle swarm optimization algorithm to optimize the time series forecast of BP neural network (Excel can directly replace the data)

[Sklearn] Data classification prediction based on multilayer perceptron algorithm (Excel can directly replace data)

Based on pytorch LSTM lstm industrial power consumption prediction complete code data can directly run the graduation project

Python | Classification Prediction Research Based on LendingClub Data Part01 - Problem Restatement + Feature Selection + Algorithm Comparison

Classification prediction | Matlab implements data classification prediction based on MIC-BP-Adaboost maximum mutual information coefficient data feature selection algorithm combined with Adaboost-BP neural network

Actual Combat 32: Data Analysis and Visualization of Resident Children's Diet Data Actual Combat Random Forest Prediction and Classification Actual Combat The complete code data can be run directly

Classification prediction | Matlab implements HPO-GRU [23-year new algorithm] based on the predator optimization algorithm to optimize the data classification prediction of the gated loop unit

Industrial output prediction based on machine learning SVM knn logistic regression, AdaBoost, xgboost, lightgbm complete code data can be run directly

The complete code + data for enterprise power consumption prediction based on Kalman filter and keras LSTM can be directly run on the computer.

Multivariate classification prediction | Matlab optimizes convolutional neural network based on MTBO-CNN mountaineering team algorithm combined with long and short-term memory network multivariate data classification prediction

Classification prediction | MATLAB implements WOA-CNN whale algorithm to optimize convolutional neural network data classification prediction

Classification prediction | Matlab implements data classification prediction based on TSOA-CNN-GRU-Attention

Classification prediction | Matlab implements classification prediction based on BP-Adaboost data

AlexNet-based image classification practice complete data code model training results graduation project can be run directly

Data Mining (4.1)--Classification and Prediction

Classification prediction | MATLAB realizes data multi-feature classification prediction based on Attention-GRU (gated recurrent unit fusion attention mechanism classification prediction, including confusion matrix diagram and classification diagram)

Classification prediction | MATLAB implements NGO-CNN northern goshawk algorithm to optimize convolutional neural network data classification prediction

Classification prediction | MATLAB implements PSO-CNN particle swarm algorithm to optimize convolutional neural network data classification prediction

Multivariate classification prediction | Matlab optimizes convolutional neural network data classification prediction based on EVO-CNN energy valley

Recommended

The number of MaxKB GitHub Stars, an open source knowledge base question and answer system based on large language models, exceeded 5,000!

Ranking

Getting the basic concepts of ROS + catkin Profile

Spring Learning (2) --- Assembling Beans in the IoC Container

js to get the src attribute of the image regularly

STM32 is based on CubeIDE and HAL library basics entry study notes: Bluetooth WIFI STM32 connects to Alibaba Cloud

Short video learning - 3, pandas simple use of pivot_table

Print directory of project configuration log, output log

Understand the difference between vi and vim in Linux in 3 minutes

1 + x certificate Web front-end development HTML5 special exercises

mangodb save and insert the difference

7-1 Family tree processing (50 points) (binary tree solution)

Daily

More

2024-05-13(8)

2024-05-12(28)

2024-05-11(32)

2024-05-10(34)

2024-05-09(32)

2024-05-08(18)

2024-05-07(34)

2024-05-06(6)

2024-05-05(0)

2024-05-04(18)