The k-means method aims to divide a set of N objects into k clusters, where each cluster is
represented by the mean value of its objects. This algorithm is simple and converges to local …

The rapid development and maturity of emerging technologies such as mobile Internet and
artificial intelligence have had a subversive impact on all aspects of teaching, and mobile …

With the development of economic globalization, international trade competition is
increasingly intensified. As an important hub of waterway transportation, the sustainable …

The k-means is the most well-known algorithm for data clustering in data mining. Its
simplicity and speed of convergence to local minima are the most important advantages of it …

Random selection of initial centroids (centers) for clusters is a fundamental defect in K‐
means clustering algorithm as the algorithm's performance depends on initial centroids and …

Radar pulse deinterleaving is the core part of electronic reconnaissance system, which is
responsible for sorting out the pulses coming from different emitters. In the process of signal …

Data Mining and Analytics have transformed the way business is conducted. Prominent
techniques of Data Mining include Clustering, Classification and Association Rule Mining …

The Computer Standards National Examination (abbreviated as UNBK) computer standard
is a phenomenon of technological progress that has a big impact and impact on all aspects …

China is a big animal husbandry country, but what does not match with its development
scale is the backward management system. In the past ten years, due to the increasing …

Dalam menentukan karyawan terbaik di suatu perusahaan diperlukan metode yang
berkualitas sehingga mendapatkan hasil yang berkualitas pula. Banyak metode yang dapat …