Learn More
Although K-means clustering algorithm is simple and popular, it has a fundamental drawback of falling into local optima that depend on the randomly generated initial centroid values. Optimization algorithms are well known for their ability to guide iterative computation in searching for global optima. They also speed up the clustering process by achieving(More)
Clustering algorithms are an important component of data mining technology which has been applied widely in many applications including those that operate on Internet. Recently a new line of research namely Web Intelligence emerged that demands for advanced analytics and machine learning algorithms for supporting knowledge discovery mainly in the Web(More)
In computer science, a computational challenge exists in finding a globally optimized solution from a tremendously large search space. Heuristic optimization methods have therefore been created that can search the very large spaces of candidate solutions. These methods have been extensively studied in the past, and progressively extended in order to suit a(More)
Collaborative inter-organizational system (C-IOS) is defined as information technology-based systems that engage multiple business partners for achieving some common value-added goals. In the past, many papers from the literature addressed a large number of techniques on collaborative agents. The techniques range from basic information exchange to(More)
The traditional SAR image denoising methods are not considered a shadow of image, but the shape of shadow is used for recognition. In order to take full use of SAR image dark areas information, the method of SAR image noising based on Retinex is proposed. Firstly, SAR image is decomposed into irradiated SAR image and reflected SAR image based on Retinex(More)
  • 1