FPS
The FPS package offers a robust suite of clustering methods and validation techniques, including fixed point clustering and DBSCAN. It enables users to visualize group separations using discriminant projections and assess cluster stability. The package also provides functions for Gaussian mixture fitting and estimating the optimal number of clusters. For more information, visit [fpc](https://CRAN.R-project.org/package=fpc).
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Top FPS Features
- Fixed point clustering algorithms
- Linear regression clustering methods
- Gaussian mixture component merging
- Symmetric discriminant projections
- Asymmetric discriminant projections
- Cluster validation statistics analysis
- Corrected Rand index evaluation
- Random cluster validation standardisation
- Comparison of clustering methods
- Cluster stability assessment techniques
- Calinski-Harabasz clustering estimation
- Tibshirani's prediction strength method
- Bootstrap stability estimation
- Mixed variable clustering support
- Variable-wise cluster interpretation
- DBSCAN clustering implementation
- Interface functions for R clustering
- Modality diagnosis for mixtures
- Comprehensive clustering method overview
- User-friendly R package integration.
