Research Article
A Novel Text Clustering Approach Using Deep-Learning Vocabulary Network
Procedure FPMAX-RS(T) | Input: T (an FP-tree), | Global: | MFIT: an MFI-tree | Head: a linked list of items | Output: The MFIT that contains all MFI’s | Method: | () if only contains a single path P | () if | () combine MFI-tree to this path; | () else | () insert into MFIT; | () else for each in Header-table of T | () append to Head; | () construct the Head-pattern base; | () Tail = items in ; | () subset_checking (); | () if is not in MFI-tree | () construct the FP-tree ; | () call FPMAX-RS(); | () remove from Head. |
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