Unsupervised feature selection using feature similarity
نویسندگان
چکیده
منابع مشابه
Unsupervised Feature Selection Using Feature Similarity
ÐIn this article, we describe an unsupervised feature selection algorithm suitable for data sets, large in both dimension and size. The method is based on measuring similarity between features whereby redundancy therein is removed. This does not need any search and, therefore, is fast. A new feature similarity measure, called maximum information compression index, is introduced. The algorithm i...
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ژورنال
عنوان ژورنال: IEEE Transactions on Pattern Analysis and Machine Intelligence
سال: 2002
ISSN: 0162-8828
DOI: 10.1109/34.990133