Correction for Closeness: Adjusting Normalized Mutual Information Measure for Clustering Comparison

2016 ◽  
Vol 33 (3) ◽  
pp. 579-601 ◽  
Author(s):  
Alessia Amelio ◽  
Clara Pizzuti
Keyword(s):  
Mutual Information ◽  
Information Measure ◽  
Normalized Mutual Information ◽  
Clustering Comparison

scholarly journals On Normalized Mutual Information: Measure Derivations and Properties

Entropy ◽  
2017 ◽  
Vol 19 (11) ◽  
pp. 631 ◽  
Author(s):  
Tarald Kvålseth
Keyword(s):  
Mutual Information ◽  
Information Measure ◽  
Normalized Mutual Information

Computational Speed and Matching Quality using an Upper Bound on the Normalized Mutual Information

2017 ◽  
Author(s):  
Kalyan S. Perumalla ◽  
Maksudul Alam ◽  
Devin A. White
Keyword(s):  
Mutual Information ◽  
Upper Bound ◽  
Normalized Mutual Information ◽  
Computational Speed

scholarly journals Clinical validation of the normalized mutual information method for registration of CT and MR images in radiotherapy of brain tumors

2004 ◽  
Vol 5 (3) ◽  
pp. 66-79 ◽  
Author(s):  
Theo Veninga ◽  
Henkjan Huisman ◽  
Richard W. M. van der Maazen ◽  
Henk Huizenga
Keyword(s):  
Brain Tumors ◽  
Mutual Information ◽  
Clinical Validation ◽  
Mr Images ◽  
Normalized Mutual Information ◽  
Information Method

A Normalized Mutual Information Estimator Compensating Variance Fluctuations for Motion Detection

2018 ◽  
pp. 46-57
Author(s):  
Kun Qin ◽  
Lei Sun ◽  
Shengmin Zhou ◽  
Badong Chen ◽  
Beom-Seok Oh ◽  
...  
Keyword(s):  
Mutual Information ◽  
Motion Detection ◽  
Normalized Mutual Information

scholarly journals Detecting Infarct Region in Cardiac Magnetic Resonance Images Through Weighted Normalized Mutual Information

2016 ◽  
Vol In press (In press) ◽  
Author(s):  
Hossein Yousefi-Banaem ◽  
Saeed Kermani ◽  
Hamid Sanei ◽  
Alireza Daneshmehr
Keyword(s):  
Cardiac Magnetic Resonance ◽  
Magnetic Resonance ◽  
Mutual Information ◽  
Magnetic Resonance Images ◽  
Infarct Region ◽  
Normalized Mutual Information

A Feature Selection Method Using a Fuzzy Mutual Information Measure

2007 ◽  
pp. 56-63 ◽  
Author(s):  
Javier Grande ◽  
María del Rosario Suárez ◽  
José Ramón Villar
Keyword(s):  
Feature Selection ◽  
Mutual Information ◽  
Feature Selection Method ◽  
Selection Method ◽  
Information Measure

Normalized Mutual Information Based PET-MR Registration Using K-Means Clustering and Shading Correction

2003 ◽  
pp. 31-39 ◽  
Author(s):  
Z. F. Knops ◽  
J. B. Antoine Maintz ◽  
M. A. Viergever ◽  
J. P. W. Pluim
Keyword(s):  
Mutual Information ◽  
Normalized Mutual Information

Research on Digital Forensics Based on Uyghur Web Text Classification

2020 ◽  
pp. 1586-1597
Author(s):  
Yasen Aizezi ◽  
Anwar Jamal ◽  
Ruxianguli Abudurexiti ◽  
Mutalipu Muming
Keyword(s):  
Mutual Information ◽  
Text Classification ◽  
Text Categorization ◽  
Digital Forensics ◽  
Feature Space ◽  
Experimental Result ◽  
Support Vector ◽  
Web Documents ◽  
Normalized Mutual Information ◽  
Plain Text

This paper mainly discusses the use of mutual information (MI) and Support Vector Machines (SVMs) for Uyghur Web text classification and digital forensics process of web text categorization: automatic classification and identification, conversion and pretreatment of plain text based on encoding features of various existing Uyghur Web documents etc., introduces the pre-paratory work for Uyghur Web text encoding. Focusing on the non-Uyghur characters and stop words in the web texts filtering, we put forward a Multi-feature Space Normalized Mutual Information (M-FNMI) algorithm and replace MI between single feature and category with mutual information (MI) between input feature combination and category so as to extract more accurate feature words; finally, we classify features with support vector machine (SVM) algorithm. The experimental result shows that this scheme has a high precision of classification and can provide criterion for digital forensics with specific purpose.

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