Fuzzy C-Means Clustering of Soil data Samples

This article is inspired from the remarkable results exhibited by AI (Artificial Intelligence) techniques in the field of data analytics. The soft computing approaches such as neural networks and fuzzy logic also belong to AI family. These techniques are very effective in making decisions in case of partial or vague information available. So they are very popular. Data clustering is also one of the very significant features of these techniques which is basically an unsupervised learning. In the present work, the clustering of soil related data has been accomplished based on its fertility using Fuzzy C- Means (FCM) clustering in the MATLAB. The accuracy of developed model is also evaluated.