Incremental Feature Subsetting useful for Big Feature Space Problems
نویسندگان
چکیده
منابع مشابه
Incremental Feature Subsetting useful for Big Feature Space Problems
Dimensionality Reduction process is a means to overcome curse of dimensionality in general. When all features are available together, it is a way to extract knowledge from a population in a big feature space. On the contrary, dimensionality reduction is intriguing when update to feature space is streaming and the question arises whether one could reduce the feature space as and when the feature...
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Dimensionality Reduction may result in contradicting effectsthe advantage of minimizing the number of features coupled with the disadvantage of information loss leading to incorrect classification or clustering. This could be the problem when one tries to extract all classes present in a high dimensional population. However in real life, it is often observed that one would not be interested in ...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2014
ISSN: 0975-8887
DOI: 10.5120/17057-7392