In this paper the K-means (KM) and the Fuzzy C-means (FCM) algorithms were compared
for their computing performance and clustering accuracy on different shaped cluster …

Image segmentation has been considered as the first step in the image processing. An
efficient segmentation result would make it easier for further analysis of image processing …

Clustering has been used in various fields, such as image processing, data mining, pattern
recognition, and statistical analysis. Generally, clustering algorithms consider all variables …

Penelitian ini bertujuan untuk melakukan analisis cluster dan implementasinya dengan
menggunakan algoritma fuzzy c-means (FCM) dan kmeans (KM) untuk mengelola data …

Crack of the bone is a very serious medical condition. In medical applications, sensitivity in
detecting medical problems and accuracy of detection are often in conflict. Computer …

The amount of data made available by microarrays gives researchers the opportunity to
delve into the complexity of biological systems. However, the noisy and extremely high …

The cyber security (CS) adaptive system is developed. It is based on advanced algorithms of
anomalies signs space partitioning and attacks on clusters. A new approach of solving the …

A new robust fuzzy regression clustering method is proposed. We estimate coefficients of a
linear regression model in each unknown cluster. Our method aims to achieve robustness …

The history of vision can go back around 543 BC. From fossil studies, researchers found out
that no. of animal species floats out and soon develops the first animal with eyes. As …

Kurangnya minat membaca pada mahasiswa khususnya menjadi perhatian bagi lembaga
pendidikan, karena membaca dapat menambah wawasan, pengetahuan dan informasi …