Parallel Fast Simulated Annealing Algorithm for Linear ...
Parallel Fast Simulated Annealing Algorithm for Linear ...
Parallel Fast Simulated Annealing Algorithm for Linear ...
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Scope of our research<br />
• We have developed an universal unsupervised data dimensionality reduction<br />
technique, in some aspects similar to Principal Components Analysis (it’s<br />
linear) and Multidimensional Scaling (it’s distance-preserving). What is more,<br />
we try to reduce data sample length at the same time<br />
• Establishing exact <strong>for</strong>m of the trans<strong>for</strong>mation matrix is treated as a<br />
continuous optimization problem and solved by <strong>Parallel</strong> <strong>Fast</strong> <strong>Simulated</strong><br />
<strong>Annealing</strong>.<br />
• The algorithm is supposed to be used in conjunction with various procedures<br />
of data mining e.g. outlier detection, cluster analysis, and classification.<br />
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