Different approaches to fuzzy clustering of incomplete datasets

摘要

In data analysis, it is discussed that partially missing datasets are often bound to occur. Hence, the problem of classifying the missing data values of the attribute of concerned into appropriate classes or clusters is considered. Since the available case approach method does not make use of the information being observed from the missing data points, it is attempted to develop a class-specific method that considers all this information. This results in quality and effective classification of incomplete datasets.