kernel-FCM clustering

资 源 简 介

it is a code for kernel-FCM clustering

详 情 说 明

The code that we are working with is used for kernel-FCM clustering, which is a type of data clustering technique. This technique is used to group similar data points together based on certain characteristics, such as distance or similarity. By using kernel functions, we can map our data points into a higher-dimensional space that allows for better separation and clustering. This particular code is designed to implement kernel-FCM clustering in a fast and efficient manner, making it a valuable tool for data analysis and processing.