Research Article
Nonuniform Granularity-Based Classification in Social Interest Detection
Algorithm 1
Algorithm NGSID: a classification based on nonuniform granularity in social interest detection.
Inputs: | : Social interest resource pool | : Required number of clusters | : Cutting threshold | Outputs: Classification result set: , cluster number: . | (1) % initialize: choose appropriate classification threshold in the light | of the pedigree chart. | (2) ; | (3) Perform a hierarchy clustering algorithm to social interest set: ; | (4) A clustering pedigree chart and a hierarchy clustered set: is obtained; | (5) While and do | (6) Do Cutting operation to | (7) Computer cutting ratio: , expected cluster ratio: , | current cluster ratio: | (8) if (indivisible subset: in exists) | (9) then | (10); | (11) Update ; | (12) | (13) Calculate cutting step value: ; | (14) if | (15) then ; | (16) else ; | (17) End while | (18); | (19); | (20) Return , n |
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