In retail, for example, it is characteristics of consumers with the same purchasing trends, consumption behavior or preference for a certain type of service channel.
3. PCA
Principal Component Analysis (PCA) is another hungary mobile database of unsupervised machine learning that aims to transform a set of collected data with common characteristics into a smaller set.
This method, known as Dimensionality Reduction, is non-parametric, linear and agile.
Its use helps reduce the variables to be analyzed and allows noise reduction, processing specific signals and even being incorporated into voice recognition tools.