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Development of Internet technology and human computing has changed the traditional software work pattern which faces the single computer greatly. Service oriented computing becomes the new tendency and everything is over services. The appearance of mobile Internet provides a more convenient way for people to join the Internet activity. Thus, the meeting between the requirements from a number of users and services is the main problem. Cloud model, a qualitative and quantitative model can be taken to bridge the qualitative requirement on the problem domain and quantitative data services on the solution domain. [ABSTRACT FROM AUTHOR]

Locally Linear Embedding (LLE) is an efficient nonlinear algorithm for mapping high-dimensional data to a low-dimensional observed space. However, the algorithm is sensitive to several parameters that should be set artificially, and the resulting maps may be invalid in case of noises. In this paper, the original LLE algorithm is improved by introducing the self-organizing features of a novel SOM model we proposed recently called DGSOM to overcome these shortages. In the improved algorithm, nearest neighbors are selected automatically according to the topology connections derived from DGSOM. The proposed algorithm can also estimate the intrinsic dimensionality of the manifold and eliminate noises simultaneously. All these advantages are illustrated with abundant experiments and simulations. [ABSTRACT FROM AUTHOR]