Abstract—The self-organizingmap (SOM) is an excellent tool in exploratory phase of data mining. It projects input space on prototypes of a low-dimensional regular grid that can be effectively utilized to visualize and explore properties of the data.
Self-healing is a key functionality of Self-Organizing Networks (SON). There have already been promising research results on Degradation Detection and Root Cause Diagnosis. However, the complex task of Recovery Selection, i.e., the determination of
The wireless industry has already been preparing for the emerging fifth-generation (5G) standards in recent years. A 5G system is featured by (1) addressing the demands and business contexts of 2020 and beyond, (2) creating an access network to enab
Self-organizing Coalitions for Managing Complexity-Agent-based-Simulation-of-Evolutionary-Game-Theory-Models-using-Dynamic-Social-Networks-for-Interdisciplinary-Applications
The self-organizing map (SOM) is an automatic data-analysis method. It is widely applied to clustering problems and data exploration in industry, finance, natural sciences, and linguistics. The most extensive applications, exemplified in this paper,
The rotation invariant feature of the target is obtained using the multi-direction feature extraction property of the steerable filter. Combining the morphological operation top-hat transform with the self-organizing feature map neural network, the a
