الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
Data are the representation of our world and our life. Data are increasing continuously, they come from different sources such as sensors, maps, climate informatics, smartphones, social media and/or medical data domains. Data are represented by different forms such as image, text, video and/or digital data. These incomprehensible data need an influential technique to be clustered and analyzed. To achieve good information for decision making, suitable processing of data is needed. Data need to be transferred. They are transferred as a vector which contains features of data. During data transferring, errors may occur. Errors change the features of data vector (instance). In this case, error detection and correction techniques are needed to tackle this issue. If data transferred as groups based on its features, any change in the features of any vector will change the group (cluster) of this vector. So, to cluster an incomprehensible data for operating any method of data mining, an influential technique is needed, and this technique should ensure the correctness of the cluster using error detection and correction codes like Hamming and Golay.