Analysis and Application of Normalization Methods with Supervised Feature Weighting to Improve K-means Accuracy

Iratxe Niño-Adan, Itziar Landa-Torres, Eva Portillo, Diana Manjarres. Analysis and Application of Normalization Methods with Supervised Feature Weighting to Improve K-means Accuracy. In Francisco Martínez-Álvarez, Alicia Troncoso Lora, José António Sáez Muñoz, Héctor Quintián, Emilio Corchado, editors, 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019) - Seville, Spain, May 13-15, 2019, Proceedings. Volume 950 of Advances in Intelligent Systems and Computing, pages 14-24, Springer, 2019. [doi]

Abstract

Abstract is missing.