PCA(Principle Component 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 Principle Component 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.
https://www.ijitee.org/wp-content/uploads/papers/v9i7/G5943059720.pdf
Citing the paper(if referred) is mandatory since the paper has copyrights.
PCA Cluster