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  "Title": "Exact Search and Graph Construction for 'bigmemory' Matrices",
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  "Authors@R": "person(\"Frederic\", \"Bertrand\", role = c(\"aut\", \"cre\"),\nemail = \"frederic.bertrand@lecnam.net\")",
  "Author": "Frederic Bertrand [aut, cre]",
  "Maintainer": "Frederic Bertrand <frederic.bertrand@lecnam.net>",
  "Description": "Exact nearest-neighbour and radius-search routines that\noperate directly on 'bigmemory::big.matrix' objects. The\npackage streams row blocks through 'BLAS' kernels, supports\nself-search and external-query search, exposes prepared\nreferences for repeated queries, and can build exact\nk-nearest-neighbour, radius, mutual k-nearest-neighbour, and\nshared-nearest-neighbour graphs. Version 0.3.0 adds execution\nplans, serializable prepared caches, resumable streamed graph\njobs, coercion helpers, exact candidate reranking, and recall\nsummaries for evaluating approximate neighbours.",
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    "knn_graph_bigmatrix",
    "knn_graph_stream_bigmatrix",
    "knn_load_prepared",
    "knn_plan_bigmatrix",
    "knn_prepare_bigmatrix",
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    "knn_search_stream_prepared",
    "knn_stream_bigmatrix",
    "knn_validate_prepared",
    "mutual_knn_graph_bigmatrix",
    "radius_bigmatrix",
    "radius_graph_bigmatrix",
    "radius_stream_bigmatrix",
    "radius_stream_job_bigmatrix",
    "recall_against_exact",
    "rerank_candidates_bigmatrix",
    "resume_knn_job",
    "snn_graph_bigmatrix"
  ],
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    {
      "page": "as_sparse_matrix",
      "title": "Coerce bigKNN outputs to a sparse matrix",
      "topics": [
        "as_sparse_matrix"
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    },
    {
      "page": "as_triplet",
      "title": "Coerce bigKNN outputs to sparse-triplet form",
      "topics": [
        "as_triplet"
      ]
    },
    {
      "page": "count_within_radius_bigmatrix",
      "title": "Count neighbours within a fixed radius",
      "topics": [
        "count_within_radius_bigmatrix"
      ]
    },
    {
      "page": "knn_bigmatrix",
      "title": "Exact k-nearest neighbours for 'bigmemory::big.matrix'",
      "topics": [
        "knn_bigmatrix"
      ]
    },
    {
      "page": "knn_graph_bigmatrix",
      "title": "Build an exact kNN graph from a 'bigmemory::big.matrix'",
      "topics": [
        "knn_graph_bigmatrix"
      ]
    },
    {
      "page": "knn_graph_stream_bigmatrix",
      "title": "Stream a directed exact kNN graph into destination 'big.matrix' objects",
      "topics": [
        "knn_graph_stream_bigmatrix"
      ]
    },
    {
      "page": "knn_load_prepared",
      "title": "Load a serialized prepared reference",
      "topics": [
        "knn_load_prepared"
      ]
    },
    {
      "page": "knn_plan_bigmatrix",
      "title": "Build an execution plan for exact search",
      "topics": [
        "knn_plan_bigmatrix"
      ]
    },
    {
      "page": "knn_prepare_bigmatrix",
      "title": "Prepare a 'bigmemory::big.matrix' reference for repeated exact search",
      "topics": [
        "knn_prepare_bigmatrix"
      ]
    },
    {
      "page": "knn_search_prepared",
      "title": "Search a prepared exact reference",
      "topics": [
        "knn_search_prepared"
      ]
    },
    {
      "page": "knn_search_stream_prepared",
      "title": "Stream prepared exact search results into destination 'big.matrix' objects",
      "topics": [
        "knn_search_stream_prepared"
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    },
    {
      "page": "knn_stream_bigmatrix",
      "title": "Stream exact k-nearest neighbours into destination 'big.matrix' objects",
      "topics": [
        "knn_stream_bigmatrix"
      ]
    },
    {
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      "topics": [
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    {
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      "title": "Build an exact mutual kNN graph from a 'bigmemory::big.matrix'",
      "topics": [
        "mutual_knn_graph_bigmatrix"
      ]
    },
    {
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      "title": "Exact radius search for 'bigmemory::big.matrix'",
      "topics": [
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      ]
    },
    {
      "page": "radius_graph_bigmatrix",
      "title": "Build an exact radius graph from a 'bigmemory::big.matrix'",
      "topics": [
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    },
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      "topics": [
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      "page": "rerank_candidates_bigmatrix",
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        "Running planned in-memory search",
        "Streaming k-NN output with knn_stream_bigmatrix()",
        "Streaming radius output with radius_stream_bigmatrix()",
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      "engine": "knitr::rmarkdown",
      "headings": [
        "When resumable jobs are worth using",
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        "Restarting work with resume_knn_job()",
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        "Build a Small Exact Evaluation Set",
        "Producing exact neighbours with bigKNN",
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        "Reranking candidate sets with rerank_candidates_bigmatrix()",
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