Clustering for High-Dimensional Data Sets
Clustering is a means to analyze data obtained by measurements. This allows us to cluster data into classes and use obtained classes as a basis for machine learning, faster measurement analysis or approximate future measurement values by extrapolation. In the following sections we will try to cover the topic of how to cluster data. This technique is especially useful when dealing with large amounts of data, a scenario not uncommon in regards to the explosion of data and information we are dealing with nowadays.