期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2014
卷号：15
期号：2
页码：63-67
出版社：Seventh Sense Research Group
摘要：Attribute based cluster involves, selecting the items or search the data item based on attributes. Common attributes are clustered and store those into a single place, so by this we can simply search the items, many more feature selections methods have been proposed and read for machine learning applications. Those are categorized into four types, those are Embedded, Wrapper, Filter and Hybrid approaches. In these four methods they are elect a concept called feature selection as part of the training process, this algorithm is very efficient than the other algorithms. In this proposed system we introduced attribute based algorithm for quick search items. Here common attributes of the items cluster into single unit, By using the common attribute it will easily search the items having same functionalities, here it will reduce the searching time, in the previous it separately based on featured here based on attributes.
关键词：attribute clustering; Embedded; Wrapper; Filter and Hybrid
