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Distributed Spectral Dimensionality Reduction for Visualizing Textual Data

By Sanjay Krishnan and Ken Goldberg


We use a Spectral Clustering model to formulate a distributed implementation using SPARK of Laplacian Eigenmaps that we call Distributed Spectral Dimensionality Reduction (DSDR). We evaluate DSDR to visualize conceptual clusters of terms in textual data from 2149 short documents written by online contributors to a State Department website. We compare DSDR with PCA, Multi

Year: 2013
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