The early warning of financial risk is to identify and analyze existing financial risk factors,
determine the possibility and severity of occurring risks, and provide scientific basis for risk …

Clustering is an adaptive procedure in which objects are clustered or grouped together,
based on the principle of maximizing the intra-class similarity and minimizing the inter-class …

Facing the cruel market competition environment, the enterprise's demand for risk
management is increasing day by day. How to objectively evaluate the financial risks …

In today's increasingly digital financial landscape, the frequency and complexity of
fraudulent activities are on the rise, posing significant risks and losses for both financial …

Tradition K-means clustering algorithm is easy to fall into local optimum, poor clustering
effect on large capacity data and uneven distribution of clustering centroids. To solve these …

The financial risk early warning process of enterprises faces problems such as uncertainty
and complexity. In the big data environment, scholars and enterprises that continue to use …

Big data has become famous to process, store and manage massive volumes of data.
Clustering is an essential phase in big data analysis for many real-life application areas …

Clustering is the process of grouping data objects into set of disjoint classes called clusters
so that objects within a class are highly similar with one another and dissimilar with the …

Clustering as a fundamental unsupervised learning is considered an important method of
data analysis, and K-means is demonstrably the most popular clustering algorithm. In this …

Among the existing clustering algorithms, K-means algorithm has become one of the most
widely used technologies, mainly because of its simplicity and effectiveness. However, the …