Clustering based machine learning application using Flask

Abstact - This is an unsupervised learning based Clustering web tool that has been used to cluster microstructures in Steel based on their physical properties. Files can be uploaded in .xlsx or .csv format. The tool supports five different clustering algorithms in combination with dimensionality reduction. The dimensionality reduction algorithm used here is Principal Component Analysis (PCA). The following are the clustering algorithm supported by the tool -

1. K-means
2. k-medoids
3. Hierarchical Clustering
4. Fuzzy Clustering
5. Gmm Clustering This web tool is developed as part of the coursework - Software Engineering, for the Chair for Functional Materials, Saarland University.