作者: John Platt
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摘要: This paper unifies the mathematical foundation of three multidimen- sional scaling algorithms: FastMap, MetricMap, and Landmark MDS (LMDS). All algorithms are based on Nystrom approximation eigenvectors eigenvalues a matrix. LMDS is applies basic approximation, while FastMap MetricMap use generaliza- tions Nystrom, including deflation using more points to establish an embedding. Empirical experiments Reuters Corel Image Features data sets show that outper- forms these generalizations: accurate than with roughly same computation can become even if allowed be slower.