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  "Title": "Time Series Clustering Along with Optimizations for the Dynamic\nTime Warping Distance",
  "Description": "Time series clustering along with optimized techniques\nrelated to the Dynamic Time Warping distance and its\ncorresponding lower bounds. Implementations of partitional,\nhierarchical, fuzzy, k-Shape and TADPole clustering are\navailable. Functionality can be easily extended with custom\ndistance measures and centroid definitions. Implementations of\nDTW barycenter averaging, a distance based on global alignment\nkernels, and the soft-DTW distance and centroid routines are\nalso provided. All included distance functions have custom\nloops optimized for the calculation of cross-distance matrices,\nincluding parallelization support. Several cluster validity\nindices are included.",
  "Version": "6.0.0.9000",
  "Date": "2025-09-06",
  "Authors@R": "c(\nperson(\"Alexis\", \"Sarda-Espinosa\", role=c(\"cre\", \"aut\"), email=\"alexis.sarda@gmail.com\")\n)",
  "BugReports": "https://github.com/asardaes/dtwclust/issues",
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  "Repository": "https://asardaes.r-universe.dev",
  "Date/Publication": "2026-02-01 21:30:32 UTC",
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    "cvi",
    "cvi_evaluators",
    "dba",
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    "dtw_basic",
    "dtw_lb",
    "dtw2",
    "fuzzy_control",
    "gak",
    "GAK",
    "hierarchical_control",
    "interactive_clustering",
    "lb_improved",
    "lb_keogh",
    "NCCc",
    "pam_cent",
    "partitional_control",
    "pdc_configs",
    "plot",
    "predict",
    "reinterpolate",
    "repeat_clustering",
    "sbd",
    "SBD",
    "sdtw",
    "sdtw_cent",
    "shape_extraction",
    "show",
    "ssdtwclust",
    "tadpole",
    "TADPole",
    "tadpole_control",
    "tsclust",
    "tsclust_args",
    "tslist",
    "update",
    "zscore"
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      "title": "Subset of character trajectories data set",
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      "class": [
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      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "CharTrajLabels",
      "title": "Subset of character trajectories data set",
      "object": "uciCT",
      "class": [
        "factor"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "CharTrajMV",
      "title": "Subset of character trajectories data set",
      "object": "uciCT",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
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      "name": "dtwclustTimings",
      "title": "Results of timing experiments",
      "object": "dtwclustTimings",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
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  "_help": [
    {
      "page": "dtwclust-package",
      "title": "Time series clustering along with optimizations for the Dynamic Time Warping distance",
      "topics": [
        "dtwclust-package",
        "dtwclust"
      ]
    },
    {
      "page": "as.matrix",
      "title": "as.matrix",
      "topics": [
        "as.matrix"
      ]
    },
    {
      "page": "compare_clusterings",
      "title": "Compare different clustering configurations",
      "topics": [
        "compare_clusterings"
      ]
    },
    {
      "page": "compare_clusterings_configs",
      "title": "Create clustering configurations.",
      "topics": [
        "compare_clusterings_configs"
      ]
    },
    {
      "page": "compute_envelope",
      "title": "Time series warping envelopes",
      "topics": [
        "compute_envelope"
      ]
    },
    {
      "page": "cvi",
      "title": "Cluster validity indices",
      "topics": [
        "cvi",
        "cvi,FuzzyTSClusters",
        "cvi,FuzzyTSClusters-method",
        "cvi,HierarchicalTSClusters",
        "cvi,HierarchicalTSClusters-method",
        "cvi,matrix-method",
        "cvi,PartitionalTSClusters",
        "cvi,PartitionalTSClusters-method"
      ]
    },
    {
      "page": "cvi_evaluators",
      "title": "Cluster comparison based on CVIs",
      "topics": [
        "cvi_evaluators"
      ]
    },
    {
      "page": "DBA",
      "title": "DTW Barycenter Averaging",
      "topics": [
        "DBA",
        "dba"
      ]
    },
    {
      "page": "DistmatLowerTriangular-class",
      "title": "Distance matrix's lower triangular",
      "topics": [
        "DistmatLowerTriangular",
        "DistmatLowerTriangular-class"
      ]
    },
    {
      "page": "dtw_basic",
      "title": "Basic DTW distance",
      "topics": [
        "dtw_basic"
      ]
    },
    {
      "page": "dtw_lb",
      "title": "DTW distance matrix guided by Lemire's improved lower bound",
      "topics": [
        "dtw_lb"
      ]
    },
    {
      "page": "dtw2",
      "title": "DTW distance with L2 norm",
      "topics": [
        "dtw2"
      ]
    },
    {
      "page": "dtwclustTimings",
      "title": "Results of timing experiments",
      "topics": [
        "dtwclustTimings"
      ]
    },
    {
      "page": "GAK",
      "title": "Fast global alignment kernels",
      "topics": [
        "GAK",
        "gak"
      ]
    },
    {
      "page": "interactive_clustering",
      "title": "A shiny app for interactive clustering",
      "topics": [
        "interactive_clustering"
      ]
    },
    {
      "page": "lb_improved",
      "title": "Lemire's improved DTW lower bound",
      "topics": [
        "lb_improved"
      ]
    },
    {
      "page": "lb_keogh",
      "title": "Keogh's DTW lower bound",
      "topics": [
        "lb_keogh"
      ]
    },
    {
      "page": "NCCc",
      "title": "Cross-correlation with coefficient normalization",
      "topics": [
        "NCCc"
      ]
    },
    {
      "page": "pam_cent",
      "title": "Centroid for partition around medoids",
      "topics": [
        "pam_cent"
      ]
    },
    {
      "page": "pdc_configs",
      "title": "Helper function for preprocessing/distance/centroid configurations",
      "topics": [
        "pdc_configs"
      ]
    },
    {
      "page": "reinterpolate",
      "title": "Wrapper for simple linear reinterpolation",
      "topics": [
        "reinterpolate"
      ]
    },
    {
      "page": "repeat_clustering",
      "title": "Repeat a clustering configuration",
      "topics": [
        "repeat_clustering"
      ]
    },
    {
      "page": "SBD",
      "title": "Shape-based distance",
      "topics": [
        "SBD",
        "sbd"
      ]
    },
    {
      "page": "sdtw",
      "title": "Soft-DTW distance",
      "topics": [
        "sdtw"
      ]
    },
    {
      "page": "sdtw_cent",
      "title": "Centroid calculation based on soft-DTW",
      "topics": [
        "sdtw_cent"
      ]
    },
    {
      "page": "shape_extraction",
      "title": "Shape average of several time series",
      "topics": [
        "shape_extraction"
      ]
    },
    {
      "page": "ssdtwclust",
      "title": "A shiny app for semi-supervised DTW-based clustering",
      "topics": [
        "ssdtwclust"
      ]
    },
    {
      "page": "TADPole",
      "title": "TADPole clustering",
      "topics": [
        "TADPole",
        "tadpole"
      ]
    },
    {
      "page": "tsclust",
      "title": "Time series clustering",
      "topics": [
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