Perbandingan Algoritma K-Means dan Fuzzy C-Means untuk Clustering Citra Daun Melon

Melon plants are that susceptible to disease, both diseases caused by viruses and those bacteria. One part of the plant can be affected disease is leaves. Leaves on diseased generally change color which will then affect other leaves inhibit development growth these plants. This study aims classify melon from leaf images. The data used in this 160 images grouped into several groups healthy group unhealthy group. method Clustering method, namely: K-Means algorithm Fuzzy C-Means algorithm. results using compared get best clustering results. comparison show with a validation value 0.8359 0.5793. final result shows better than because close 1.