Dimension Reduction
نویسندگان
چکیده
The “curse of dimensionality” refers to various phenomena that arise when analyzing and organizing data in high dimensions. For example, the solution to nearest neighbor problem grows exponentially with the dimension. Therefore dimension reduction, the process of representing data in lower dimensions while preserving the essential properties, is very useful. Common techniques include Singular Value Decomposition (SVD). This lecture covers the Johnson-Lindenstrauss Lemma and how to preserve distance information in data.
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تاریخ انتشار 2015