JOURNAL ARTICLE
MPCA: A Modified Principal Component Analysis Method for Anomaly Detection
Xu GuangxiaYü LiuZhangjun YaoMing‐Wei Lin
Year: 2012 Journal: International Journal of Advancements in Computing Technology Vol: 4 (16)Pages: 74-81 Publisher: The International Association for Information, Culture, Human and Industry Technology (AICIT)
Keywords:
Computer science Principal component analysis Anomaly detection Pattern recognition (psychology) Artificial intelligence Data mining
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Topics
Fault Detection and Control Systems
Physical Sciences → Engineering → Control and Systems Engineering
Machine Learning in Bioinformatics
Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology
Advanced Data Processing Techniques
Physical Sciences → Engineering → Control and Systems Engineering
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