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to a multi-dimensional model is
|
flat-based classification
|
. After transforming a multidimensional
|
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classification . Compared with
|
flat-based classification
|
, the granularity of multi-dimensional
|
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classification performs better than the
|
flat-based classification
|
. Moreover , an interesting observation
|
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document per class is larger than
|
flat-based classification
|
approach but the representation
|
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. It also performs faster than
|
flat-based classification
|
since there are fewer classes
|
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may increase the accuracy , the
|
flat-based classification
|
suffers with sparseness problem
|
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the granularity of classes . The
|
flat-based classification
|
in the multi-dimensional model
|
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overall discussion is given . 5.1
|
Flat-based Classification
|
In this experiment , test documents
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multi-dimensional-based methods . 3.1
|
Flat-based classification
|
The naive method to classify
|
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classification performs better than the
|
flat-based classifications
|
. 1 Introduction In the past
|