GitHub - Sohan-Rai/Radar-data-analysis: Designing and applying unsupervised learning on the Radar signals to perform clustering using K-means and Expectation maximization for Gausian mixture models to study ionosphere structure. Both the algorithms have been implemented without the use of any built-in packages. The Dataset can be found here: https://archive.ics.uci.edu/ml/datasets/ionosphere

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
EM_ionosphere.R		EM_ionosphere.R
NB_vs_KNN_ionosphere.R		NB_vs_KNN_ionosphere.R
README.md		README.md
ionosphere_test_1.csv		ionosphere_test_1.csv
ionosphere_test_2.csv		ionosphere_test_2.csv
ionosphere_test_3.csv		ionosphere_test_3.csv
ionosphere_test_4.csv		ionosphere_test_4.csv
ionosphere_test_5.csv		ionosphere_test_5.csv
ionosphere_train_1.csv		ionosphere_train_1.csv
ionosphere_train_2.csv		ionosphere_train_2.csv
ionosphere_train_3.csv		ionosphere_train_3.csv
ionosphere_train_4.csv		ionosphere_train_4.csv
ionosphere_train_5.csv		ionosphere_train_5.csv
kmeans_ionosphere.R		kmeans_ionosphere.R
knn_ionoshpere.R		knn_ionoshpere.R
naiveBayes_ionosphere.R		naiveBayes_ionosphere.R

Repository files navigation

About

Designing and applying unsupervised learning on the Radar signals to perform clustering using K-means and Expectation maximization for Gausian mixture models to study ionosphere structure. Both the algorithms have been implemented without the use of any built-in packages. The Dataset can be found here: https://archive.ics.uci.edu/ml/datasets/ion…