possible to observe
Posted: Mon Apr 21, 2025 6:49 am
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.
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.