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 top-down applied order ⬇️ , meaning Savitzky-Golay is applied first then Derivative 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