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Classification on spatial data is different from classical classification in that spatial context must be taken into account. In particular, the validation criterion functions should incorporate both classification accuracy and spatial accuracy. However, direct combination of the two accuracies is cumbersome, due to their different subjects and scales. To circumvent this difficulty, we develop a new criterion function that indirectly incorporates spatial accuracy into classification accuracy-based functions. Next, we formally introduce a set of ideal properties that an appropriate criterion function should satisfy, giving a more meaningful interpretation for the relative significance coefficient in the weighted scheme. Finally, we compare the proposed new criterion function with existing ones on a large data set for 1980 US presidential election.

Consensus clustering refers to combining multiple clusterings over a common dataset into a consolidated better one. This paper compares three graph partitioning based methods. They differ in how to summarize the clustering ensemble in a graph. They are evaluated in a series of experiments, where component clusterings are generated by tuning parameters controlling their quality and resolution. Finally the combination accuracy is analyzed as a function of the learning dynamics vs. the number of clusterings involved

Web-based applications that features intensive date manipulation, user-interaction and complicated business processing have been widely used especially in areas such as e-commerce. They are comparable to traditional GUI client/server applications in terms of functionality, structure and development activities but unique in the fact that they must use the web as an infrastructure for their deployment and execution. In this paper we present a procedure of deriving an architecture specific for web-based applications based on the analysis their features attributed to the uniqueness. We illustrate how this architecture accommodates the features and compare it with other commonly used architectures.