Update README.md

README.md

@@ -1,2 +1,36 @@
 # Linear-discriminant-Analysis-LDA-for-Wine-Dataset
 Linear discriminant Analysis(LDA) for Wine Dataset of Machine Learning
+
+Requirements
+
+1. import numpy as np
+
+2. import pandas as pd
+
+3. import matplotlib.pyplot as plt
+
+4. sklearn
+
+5. Wine dataset
+
+This Program is About Linear Discriminant analysis of Wine dataset.
+
+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
+
+Kmeans Cluster
+
+![alt text](