Clustering merupakan proses pengelompokan sekumpulan data ke dalam klaster yang
memiliki kemiripan. Kemiripan dalam satau klaster ditentukan dengan perhitungan jarak …

In this paper, we propose a new distance metric for the K-means clustering algorithm.
Applying this metric in clustering a dataset, forms unequal clusters. This metric leads to a …

Affected by the control objectives of the inverter, the short-circuit characteristics of renewable
energy sources are quite different from those of traditional synchronous generators. As a …

新能源短路电流呈现幅值受限的非工频特征, 导致差动保护的动作性能下降.
在分析新能源电源与传统同步发电机故障特性的基础上, 提出基于时频特性相似度的新能源场站 …

With the gradual prosperity of social economy, people's demand for agricultural products
consumption has also gradually increased. Through the efficient introduction of big data …

To ensure uninterrupted service delivery in critical sectors like electricity, water, and oil,
safeguarding information systems against anomalies is imperative. Detecting anomalies …

The traditional k-means algorithm is widely used in large-scale data clustering because of its
easy implementation and efficient process, but it also suffers from the disadvantages of local …

Contemporary cloud-native applications frequently adopt the microservice architecture,
where applications are deployed within multiple containers that run on cloud virtual …

The marketing strategy is very important to follow the culture of visitors or buyers because it
is closely related to people's income levels. A number of visitor data are a data mining model …

There has been a significant increase in the number of part-time workers in the last 3 years.
Data collected from sakernas BPS showed that the number of part-time workers was …