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Showing 1 to 1 of 1 for “"High-dimensional index"”.

  1. High-dimensional indexing methods utilizing clustering and dimensionality reduction

    … data objects are extracted and transformed into high-dimensional data points. Searching for objects becomes a search on points in the high-dimensional feature space. The dissimilarity between two objects is determined by the distance between two feature vectors. Similarity search is usually …

    njit Repository record for High-dimensional indexing methods utilizing clustering and dimensionality reduction (opens in a new tab)