{
  "annotation_id": "9f7cdfbd-d7ea-460a-8b6c-5ff9039e37f0",
  "date_created": "2026-03-02T18:01:14.465000Z",
  "date_modified": "2026-03-02T18:01:14.465000Z",
  "file_hash": "f108cf7e7a7d9f3bccff81a83678d3f1380e38e52a331e641ed52e27d58d019c",
  "private": false,
  "record": {
    "abstract": "In this work, we present a minimum entropy analysis scheme for variable\nselection and preliminary data analysis. The variable selection can be achieved\nby the increasing preference of variables. We show such a preference to has a\nunqiue form, which is given by the entropy of models associated with variables.\nEvaluating the entropy provides a complete ranking scheme of variables. This\nscheme not only indicates preferred variables but also may reveal the system\u0027s\nnature and properties. We illustrate the proposed scheme to analyze a set of\ngeological data for three carbonate rock units in Texas and Oklahoma, and\ncompare to the discriminant function analysis. The result suggests this scheme\nto provide a quick and robust analysis, and the use in data analysis is\npromising.",
    "arxiv_id": "physics/0609250",
    "authors": [
      "Chih-Yuan Tseng",
      "Chien-Chih CHen"
    ],
    "categories": [
      "physics.data-an",
      "physics.geo-ph"
    ],
    "title": "On data analysis and variable selection: the minimum entropy analysis",
    "url": "https://arxiv.org/abs/physics/0609250"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "5c985bf8-a90a-4bf0-be83-e23ed20d94cd",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}