A new validity index of feature subset for evaluating the dimensionality reduction algorithms
نویسندگان
چکیده
منابع مشابه
Evaluating a Class of Dimensionality Reduction Algorithms
High-dimensional index structures (R* tree, SS-tree) are used for retrieval of multimedia objects in databases. As dimensionality increases, query performance in the index structures degrades. Dimensionality reduction algorithms are the only known solution that supports scalable object retrieval and satisfies precision of query results. By combining the methods from pattern recognition, multime...
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Anomaly Detection (AD) has recently become an important application of hyperspectral images analysis. The goal of these algorithms is to find the objects in the image scene which are anomalous in comparison to their surrounding background. One way to improve the performance and runtime of these algorithms is to use Dimensionality Reduction (DR) techniques. This paper evaluates the effect of thr...
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Article history: Received 30 January 2009 Received in revised form 31 May 2009 Accepted 17 June 2009
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ژورنال
عنوان ژورنال: Knowledge-Based Systems
سال: 2017
ISSN: 0950-7051
DOI: 10.1016/j.knosys.2017.01.017