Clustering
Unsupervised cluster classification
Parameters
Number of cluster
The number of cluster you want to detect and visualize.
Model
Which clustering model type to use:
K-Means
K-means assigns data points to the nearest of centroids, iteratively refining these centroids until convergence.Gaussian Mixture Mode
GMM represents data using a combination of multiple Gaussian distributions to capture diverse cluster shapes in multidimensional space.
Pretreatments
In button-up applied order ⬆️ , meaning UV is applied first then Center and so on.
Savitzky-Golay
Derivative
SNV (Standard Normal Variate)
Logarithm
Center
UV (Unit Variance) scaling
For more on each type of pretreatment see: Pretreatments