# Linear grouping

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But on no other hypothesis can I understand their linear grouping. I may add that Scoresby remarks that green water abounding with pelagic animals is invariably found in a certain part of the Arctic Sea.

The key contributions of this article are as follows: First, we provide an applicable method to discover active server applications without pre-defined knowledge, and create behavior profiles for each server application by applying a novel linear grouping algorithm PSOLGA.

Linear Grouping Algorithm(LGA), first introduced by Van Aelst [7] in 2006, can be useful for investigating subsets that follow different linear relationships in data sets.

We are first to apply PSO in linear grouping algorithm, optimizing the grouping stability and time complexity.

It is obvious that access flows follow a certain set of linear grouping strutures.

In this section ,we propose a novel linear grouping method PSOLGA with a combination of PSO and LGA, which is able to optimize the resampling process in LGA and output more stable grouping result.

Our approach use both orthogonal distance and euclidean distance to detect outliers, thus it is able to distinguish abnormal flows which are similar to normal ones in euclidean distance (as shown in 0) but deviate from the corresponding linear grouping struture.

Besides that, we introduce a novel linear grouping algorithm PSOLGA for mining the significant linear strutures in access flows, which are then used to build behavior profiles for each indivual server application.

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