Self-regulated incremental clustering with focused preferences

• Main Authors: WANG, Di, TAN, Ah-hwee
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2016
• 主題: Databases and Information Systems; OS and Networks
• 在線閱讀: https://ink.library.smu.edu.sg/sis_research/5478; https://ink.library.smu.edu.sg/context/sis_research/article/6481/viewcontent/Self_Regulated_Incremental_Clustering_with_Focused_Preferences_accepted.pdf

Due to their online learning nature, incremental clustering techniques can handle a continuous stream of data. In particular, various incremental clustering techniques based on Adaptive Resonance Theory (ART) have been shown to have low computational complexity in adaptive learning and are less sens...