Research Article
Intuitionistic Fuzzy Possibilistic C Means Clustering Algorithms
Given an unlabeled dataset , partition into clusters such |
that objective function is minimized | (1) Input: Consider the seed values and assume and set | (2) Output: Generate clusters using the IFPCM clustering algorithm for IVIFSs | (3) begin procedure | (4) repeat | (5) calculate | (6) begin | (7) if then | (8) | (9) end if | (10) if then | (11) and 0 | (12) end if | (13) end | (14) calculate | (15) begin | (16) if then | (17) ; | (18) end if | (19) if then | (20) and 0 | (21) end if | (22) end | (23) calculate | | (24) | (25) until | (26) end procedure |
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