to bronchial and pulmonary cancer for insight into the root of the problem. An aging population has generated huge … expenditures in cancer care. This study proposed a two-stage cluster method by using k-means and a Self-Organizing Map (SOM) to … conduct a scientific analysis of the health insurance database of cancer prescription and patients in 2016. The findings of …

observations (classification). NNS clustering is very similar to k-means clustering, and we direct the reader to Vinod and Viole … classification problems using NNS clustering analysis.We demonstrate how NNS clustering is quite effective, as well as an alternative … method NNS employs for classification tasks. We compare predictions of test sets with NNS, k-means using the "cl …

"This book provides an analysis of large data in the field of classification and clustering by presenting algorithms …

This paper examines the various multi-criteria approaches of fuzzy classification rule mining. An updated state …-of-the-art multi-objective genetic algorithm is given. Further, various genetic algorithm-based fuzzy classification rule mining … classification rule mining problem, this paper offers a general framework …