In this paper we present an application of a multi-dimension to two-dimension projection algorithm for visualizing room equalization at multiple locations. The algorithm allows easy visualization of the formation of clusters for our previously presented pattern recognition based multiple listener room equalization filter. Furthermore, the mapping provides an interesting perspective on the formation of room response clusters. We also compare the results obtained from using the proposed map to the results obtained by using the spectral deviation measure.
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