Soft Learning Vector Quantization and Clustering Algorithms Based on Reformulation

This chapter contains sections titled:

• Introduction

• Clustering Algorithms

• Reformulating Fuzzy Clustering

• Generalized Reformulation Function

• Constructing Reformulation Functions: Generator Functions

• Constructing Admissible Generator Functions

• From Generator Functions to LVQ and Clustering Algorithms

• Soft LVQ and Clustering Algorithms Based on Nonlinear Generator Functions

• Initialization of Soft LVQ and Clustering Algorithms

• Magnetic Resonance Image Segmentation

• Conclusions

This chapter contains sections titled:

• Acknowledgments

• References