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Research Article

An Analysis Of Fuzzy C Means And Logical Average Distance Measure Algorithms Using Mri Brain Images


Author(s): A.Naveen , T.Velmurugan
Affiliation: PG and Research Department of Computer Science, D. G. Vaishnav College, Arumbakkam, Chennai, India. E-Mail: naveenking@yahoo.co.in
Year of Publication: 2017
Source: International Journal of Computing Algorithm
     
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Citation: A.Naveen, T.Velmurugan. "An Analysis Of Fuzzy C Means And Logical Average Distance Measure Algorithms Using Mri Brain Images." International Journal of Computing Algorithm 6.2 (2017): 65-73.

Abstract:
Now days several clustering algorithm is using in data mining technique. In data mining using distance based clustering algorithms, such as k-Means and Fuzzy C Means FCM are used to identify tumor or the origin point of tumor. In this paper pre-processing phase the collected data set are prepared using pre-processing techniques such as region of interest, inverse method and boundary detection for the effective result of clustering. The k-Means and FCM clustering algorithm are used for evaluation and Logical Average Distance Measure Algorithms LADMA is designed and implemented. The performances are compared based on accuracy and clustering quality and also measured by time and space parameters.


Keywords Fuzzy C Means Algorithm, k-Means Algorithm, Medical Image Extraction, Logical Average Distance Measure Algorithms


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@article{AnA1792467, author = {A.Naveen,T.Velmurugan}, title = {An Analysis Of Fuzzy C Means And Logical Average Distance Measure Algorithms Using Mri Brain Images}, journal={International Journal of Computing Algorithm}, volume={6}, issue={2}, issn = {2278-2397}, year = {2017}, publisher = {Scholarly Citation Index Analytics-SCIA}

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