LDA(Linear Discriminant Analysis) for Seed Dataset
LDA(Linear Discriminant Analysis) for Seed Dataset in Machine Learning.
Requirements
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
sklearn
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.
http://www.ijitee.org/wp-content/uploads/papers/v9i7/G5943059720.pdf
Citing the paper(if referred) is mandatory since the paper has copyrights.
LDA Cluster