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  "Description": "A toolkit implementing the Matrix Profile concept that was\ncreated by CS-UCR\n<http://www.cs.ucr.edu/~eamonn/MatrixProfile.html>.",
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    "av_complexity",
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    "discords",
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    "find_chains",
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    "find_motif",
    "find_snippet",
    "floss",
    "floss_cac",
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    "paa",
    "plot_arcs",
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    "pmp_upper_bound",
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    "remove_class",
    "salient_mds",
    "salient_score",
    "salient_subsequences",
    "sdts_predict",
    "sdts_score",
    "sdts_train",
    "set_data",
    "simple_fast",
    "stompi_update",
    "tsmp",
    "valmod",
    "visualize",
    "write_json"
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      "name": "motifs_discords_small",
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      "object": "motifs_discords_small",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "mp_fluss_data",
      "title": "Original data used in the FLUSS paper",
      "object": "mp_fluss_data",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "mp_gait_data",
      "title": "Original data used in the Time Series Chain demo",
      "object": "mp_gait_data",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [],
      "rows": 904,
      "table": true,
      "tojson": true
    },
    {
      "name": "mp_meat_data",
      "title": "Original data used in the Salient Subsequences demo",
      "object": "mp_meat_data",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "mp_test_data",
      "title": "Original data used in the STDS demo",
      "object": "mp_test_data",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "mp_toy_data",
      "title": "Original data used in the mSTAMP demo",
      "object": "mp_toy_data",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "tsmp-package",
      "title": "Matrix Profile for R",
      "topics": [
        "tsmp-package"
      ]
    },
    {
      "page": "analyze",
      "title": "Runs an appropriate workflow based on the parameters passed in.",
      "concept": [
        "Main API"
      ],
      "topics": [
        "analyze"
      ]
    },
    {
      "page": "as_ts_data",
      "title": "Standardize Time Series Input Data",
      "topics": [
        "as_ts_data",
        "convert_data"
      ]
    },
    {
      "page": "as.matrixprofile",
      "title": "Convert a TSMP object into another if possible",
      "topics": [
        "as.arccount",
        "as.chain",
        "as.discord",
        "as.fluss",
        "as.matrixprofile",
        "as.motif",
        "as.multimatrixprofile",
        "as.multimotif",
        "as.pmp",
        "as.salient",
        "as.valmod"
      ]
    },
    {
      "page": "av_apply",
      "title": "Corrects the matrix profile using an annotation vector",
      "concept": [
        "Annotation vectors"
      ],
      "topics": [
        "av_apply"
      ]
    },
    {
      "page": "av_complexity",
      "title": "Computes the annotation vector that favors complexity",
      "concept": [
        "Annotation vectors"
      ],
      "topics": [
        "av_complexity"
      ]
    },
    {
      "page": "av_hardlimit_artifact",
      "title": "Computes the annotation vector that suppresses hard-limited artifacts",
      "concept": [
        "Annotation vectors"
      ],
      "topics": [
        "av_hardlimit_artifact"
      ]
    },
    {
      "page": "av_motion_artifact",
      "title": "Computes the annotation vector that suppresses motion artifacts",
      "concept": [
        "Annotation vectors"
      ],
      "topics": [
        "av_motion_artifact"
      ]
    },
    {
      "page": "av_stop_word",
      "title": "Computes the annotation vector that suppresses stop-word motifs",
      "concept": [
        "Annotation vectors"
      ],
      "topics": [
        "av_stop_word"
      ]
    },
    {
      "page": "av_zerocrossing",
      "title": "Computes the annotation vector that favors number of zero crossing",
      "concept": [
        "Annotation vectors"
      ],
      "topics": [
        "av_zerocrossing"
      ]
    },
    {
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      "title": "Computes the Matrix Profile or Pan-Matrix Profile",
      "concept": [
        "Main API"
      ],
      "topics": [
        "compute"
      ]
    },
    {
      "page": "discords",
      "title": "Search for Discord",
      "concept": [
        "Main API"
      ],
      "topics": [
        "discords"
      ]
    },
    {
      "page": "dist_profile",
      "title": "Calculates the distance profile using MASS algorithms",
      "topics": [
        "dist_profile"
      ]
    },
    {
      "page": "find_chains",
      "title": "Find Time Series Chains",
      "topics": [
        "find_chains"
      ]
    },
    {
      "page": "find_discord",
      "title": "Search for Discord",
      "topics": [
        "find_discord",
        "find_discord.MatrixProfile",
        "find_discord.PMP"
      ]
    },
    {
      "page": "find_motif",
      "title": "Search for Motifs",
      "topics": [
        "find_motif",
        "find_motif.MatrixProfile",
        "find_motif.MultiMatrixProfile",
        "find_motif.PMP"
      ]
    },
    {
      "page": "find_snippet",
      "title": "Time Series Snippets: A New Primitive for Time Series Data Mining",
      "topics": [
        "find_snippet"
      ]
    },
    {
      "page": "floss",
      "title": "Fast Low-cost Online Semantic Segmentation (FLOSS)",
      "concept": [
        "Semantic Segmentations"
      ],
      "topics": [
        "floss"
      ]
    },
    {
      "page": "floss_cac",
      "title": "FLOSS - Corrected Arc Counts",
      "concept": [
        "Semantic Segmentations"
      ],
      "topics": [
        "floss_cac"
      ]
    },
    {
      "page": "floss_extract",
      "title": "FLOSS - Extract Segments",
      "concept": [
        "Semantic Segmentations"
      ],
      "topics": [
        "floss_extract"
      ]
    },
    {
      "page": "fluss",
      "title": "Fast Low-cost Unipotent Semantic Segmentation (FLUSS)",
      "concept": [
        "Semantic Segmentations"
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      "topics": [
        "fluss"
      ]
    },
    {
      "page": "fluss_cac",
      "title": "FLUSS - Corrected Arc Counts",
      "concept": [
        "Semantic Segmentations"
      ],
      "topics": [
        "fluss_cac"
      ]
    },
    {
      "page": "fluss_extract",
      "title": "FLUSS - Extract Segments",
      "concept": [
        "Semantic Segmentations"
      ],
      "topics": [
        "fluss_extract"
      ]
    },
    {
      "page": "fluss_score",
      "title": "FLUSS - Prediction score calculation",
      "concept": [
        "Semantic Segmentations"
      ],
      "topics": [
        "fluss_score"
      ]
    },
    {
      "page": "get_data",
      "title": "Get the data included in a TSMP object, if any.",
      "topics": [
        "get_data"
      ]
    },
    {
      "page": "ipaa",
      "title": "Inverse Piecewise Aggregate Approximation",
      "topics": [
        "ipaa"
      ]
    },
    {
      "page": "min_mp_idx",
      "title": "Get index of the minimum value from a matrix profile and its nearest neighbor",
      "topics": [
        "min_mp_idx"
      ]
    },
    {
      "page": "motifs",
      "title": "Search for Motifs",
      "concept": [
        "Main API"
      ],
      "topics": [
        "motifs"
      ]
    },
    {
      "page": "motifs_discords_small",
      "title": "Just a synthetic dataset for testing",
      "topics": [
        "motifs_discords_small"
      ]
    },
    {
      "page": "mp_fluss_data",
      "title": "Original data used in the FLUSS paper",
      "topics": [
        "mp_fluss_data"
      ]
    },
    {
      "page": "mp_gait_data",
      "title": "Original data used in the Time Series Chain demo",
      "topics": [
        "mp_gait_data"
      ]
    },
    {
      "page": "mp_meat_data",
      "title": "Original data used in the Salient Subsequences demo",
      "topics": [
        "mp_meat_data"
      ]
    },
    {
      "page": "mp_test_data",
      "title": "Original data used in the STDS demo",
      "topics": [
        "mp_test_data"
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    },
    {
      "page": "mp_toy_data",
      "title": "Original data used in the mSTAMP demo",
      "topics": [
        "mp_toy_data"
      ]
    },
    {
      "page": "mpdist",
      "title": "MPdist - Distance between Time Series using Matrix Profile",
      "concept": [
        "distance measure"
      ],
      "topics": [
        "mpdist"
      ]
    },
    {
      "page": "mstomp",
      "title": "Multivariate STOMP algorithm Parallel version",
      "concept": [
        "matrix profile computations"
      ],
      "topics": [
        "mstomp",
        "mstomp_par"
      ]
    },
    {
      "page": "paa",
      "title": "Piecewise Aggregate Approximation",
      "topics": [
        "paa"
      ]
    },
    {
      "page": "plot",
      "title": "Plot a TSMP object",
      "topics": [
        "plot",
        "plot.ArcCount",
        "plot.Chain",
        "plot.Discord",
        "plot.Floss",
        "plot.Fluss",
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      "title": "Time Series with Matrix Profile",
      "author": "Francisco Bischoff",
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      "headings": [
        "Matrix Profile",
        "Why should you care?",
        "Performance on an Intel(R) Core(TM) i9-13900K using a random walk dataset",
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      "created": "2018-09-16 23:10:29",
      "modified": "2026-10-14 19:25:53",
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