Automatic Classification of Focal Lesions in Ultrasound Liver Images using Principal Component Analysis and Neural Networks

2007 ◽  
Author(s):  
Deepalakshmi Balasubramanian ◽  
Poonguzhali Srinivasan ◽  
Ravindran Gurupatham
Keyword(s):  
Neural Networks ◽  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Automatic Classification ◽  
Focal Lesions ◽  
Ultrasound Liver Images

Use of principal component analysis for automatic classification of epileptic EEG activities in wavelet framework

2012 ◽  
Vol 39 (10) ◽  
pp. 9072-9078 ◽  
Author(s):  
U. Rajendra Acharya ◽  
S. Vinitha Sree ◽  
Ang Peng Chuan Alvin ◽  
Jasjit S. Suri
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Automatic Classification

scholarly journals Classificacção de Ransomware utilizando Algoritmos de Machine Learning

2021 ◽  
Author(s):  
Adriana Medeiros Pinheiro ◽  
George Tassiano Melo Pereira ◽  
Caio Carvalho Moreira ◽  
Claudomiro de Souza Sales Junior
Keyword(s):  
Machine Learning ◽  
Principal Component Analysis ◽  
Feature Extraction ◽  
Principal Component ◽  
Component Analysis ◽  
Automatic Classification ◽  
Malicious Software ◽  
Cyber Threat

Ransomware is a subset of malware that is growing as a serious cyber threat. This malicious software prevents orlimits users from accessing their system until the ransom is paid.The use of Machine Learning (ML) algorithms has been widely used in automatic classification of these attacks. In this paper,we apply the Principal Component Analysis (PCA) techniqueas feature extraction intending to reduce dimensionality of the dataset, then we explore 11 ML algorithms in order to findthe best classifier for ransomware detection. Five comparisonmethods used in the literature were discussed. Nayes Bayesmethod achieved an Accuracy of 100% in one of the methods.

scholarly journals Automatic Classification of Staphylococci by Principal-Component Analysis and a Gradient Method1

1965 ◽  
Vol 89 (5) ◽  
pp. 1393-1401 ◽  
Author(s):  
L. R. Hill ◽  
L. G. Silvestri ◽  
P. Ihm ◽  
G. Farchi ◽  
P. Lanciani
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Automatic Classification
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