Research Article
Online Incremental Learning for High Bandwidth Network Traffic Classification
Algorithm 1
Classification model initialization.
(1) : Pre-collected flow instances (array of features) | (2) : True labels for | (3) : Distance of to origin | (4) : Number of micro-model | (5) : Number of Pre-collected flow instances | (6) : Number of cluster in a micro-model | (7) for in range of do | (8) Calculate | (9) end for | (10) Quicksort | (11) Distribute into micro-model | (12) for each micro-model do | (13) Generate cluster | (14) Summarize cluster into Clustering Feature, CF | (15) Store clusters in time-series and set timestamp to 0 | (16) end for |
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