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At present, the method of similarity computation is imperfect.
This paper presented a new method of similarity search: SA_DTW.
The method of similarity computation for two data points is described in algorithm 1.
Two ontologies are taken as examples, to explain the specific mapping framework and improved method of similarity computation.
To solve these problems, an ontology-mapping framework with a kind of hybrid architecture is put forward, with an improvement in the method of similarity computation.
The calculate method of similarity is based on KL-distance algorithm [11], and through calculation, we choose the nearest approximate as the new model.
Similar(49)
First, we present an overview of the existing methods of similarity measures.
The section demonstrates experiments on the methods of similarity search to evaluate their effectiveness and efficiency.
We next examine the different parameter-free methods of similarity aggregating; the methods which require fitting parameters from the data are not discussed here, but in a later section.
Since the authors in [7] claimed that 10%% constraint on warping inherited from speech community is actually much higher than the constraint needed for data-mining applications, the methods of similarity search takes 5%% constraint on warping in their implementation.
In this model, objects were gene-function pairs, labels were either "yes" or "no" (indicating whether a gene-function pair was labeled as a valid association or not), and features for a given gene-function pair were a variety of measures (see Materials and Methods) of similarity between the given gene and all positive reference genes for that function.
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