项目作者: Ayantika22

项目描述 :
LDA(Linear Discriminant Analysis) for Seed Dataset
高级语言: Jupyter Notebook
项目地址: git://github.com/Ayantika22/LDA-Linear-Discriminant-Analysis-for-Seed-Dataset.git


LDA-Linear-Discriminant-Analysis-for-Seed-Dataset

LDA(Linear Discriminant Analysis) for Seed Dataset in Machine Learning.

Requirements

  1. import numpy as np

  2. import pandas as pd

  3. import matplotlib.pyplot as plt

  4. sklearn

  5. Seed dataset

This Program is about Linear Discriminant Analysis of Seed dataset for clustering visualization.

I have used Jupyter console.

Along with Clustering Visualization, Accuracy using Classifiers Such as Logistic regression, KNN, Support vector Machine, Gaussian Naive Bayes, Decision tree and Random forest Classifier is provided. To know the exactness in Accuracy Cohen Kappa is used.

For more information, Cite this paper if referred.

http://www.ijitee.org/wp-content/uploads/papers/v9i7/G5943059720.pdf

https://www.researchgate.net/profile/Ayantika_Nath2/publication/341671505_Clustering_Visualization_and_Class_Prediction_using_Flask_of_Benchmark_Dataset_for_Unsupervised_Techniques_in_ML/links/5ece482292851c9c5e5f8695/Clustering-Visualization-and-Class-Prediction-using-Flask-of-Benchmark-Dataset-for-Unsupervised-Techniques-in-ML.pdf

https://www.researchgate.net/profile/Ayantika_Nath2/publication/341150281_Clustering_Using_Dimensional_Reduction_Techniques_for_Energy_Efficiency_in_WSNs_A_Review/links/5eb10592299bf18b9595b113/Clustering-Using-Dimensional-Reduction-Techniques-for-Energy-Efficiency-in-WSNs-A-Review.pdf

Citing the paper(if referred) is mandatory since the paper has copyrights.

Enjoy Coding

LDA Cluster
alt text