Implementing multiple clustering algorithms and dimensionality reduction techniques on clusterMaker2

<p>Implementing following dimensionality reduction techniques and clustering algorithms to clusterMaker2: UMAP, t-SNE, PCA, PCoA, Louvain, Walktrap, Edge Betweenness, Surprise, DBSCAN, Spectral clustering and Self Organizing Map. This project is a continuation from last summer's clusterMaker2 project, when I implemented a feature that allows running the algorithms on a remote server. These algorithms that will be added will also use the remote feature.</p>