Clustering of Engineering Materials Data Sets Using Fuzzy System

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Provided by: International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
Topic: Data Management
Format: PDF
Data mining enables efficient knowledge extraction from large datasets, in order to discover hidden or non-obvious patterns in data. Clustering of engineering material data sets deals with the systematic categorization of materials based on distinguished characteristics as well as criteria. Material informatics deals with real world material data sets with high dimensionality and complex structure. Fuzzy approaches can play an important role in data mining, because they can deal with complex high dimension data and is capable of producing comprehensible results. Fuzzy clustering method is used to cluster the materials data set based on their similarities and performance.
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