Dalam data mining, terdapat beberapa algoritma yang sering digunakan dalam
pengelompokan data, diantaranya adalah K-Means. Namun, metode tersebut masih …

Clustering has been used in various disciplines like software engineering, statistics, data
mining, image analysis, machine learning, Web cluster engines, and text mining in order to …

Data Mining is the technique used to visualize and scrutinize the data and drive some useful
information from that data so that information can be used to perform any useful work. So …

Clustering is a method needed to group data or objects based on the required level between
data, K-means is one of the clustering methods used that can be used easily in its …

Handwriting recognition is used for the prediction of various demographic traits such as age,
gender, nationality, etc. Out of all the applications gender prediction is mainly admired topic …

This paper focuses on connectivity-based data clustering for categorizing similar and
dissimilar data into distinct groups. Although classical clustering algorithms such as K …

Filter pruning is effective to reduce the computational costs of neural networks. Existing
methods show that updating the previous pruned filter would enable large model capacity …

Optimasi jumlah cluster diperlukan untuk memastikan kebijakan yang dapat diambil terkait
hasil pengelompokkan, termasuk memastikan kelompok wilayah dengan status ODP, PDP …

Stroke is a cardiovascular (CVD) disease caused by the failure of brain cells to get oxygen
supply to pose a risk of ischemic damage and result in death. This Disease can detect based …

Recently big data and its applications had sharp growth in various fields such as IoT,
bioinformatics, eCommerce, and social media. The huge volume of data incurred enormous …