{
  "id": "1301.3849",
  "version": "v1",
  "published": "2013-01-16T15:49:46.000Z",
  "updated": "2013-01-16T15:49:46.000Z",
  "title": "Experiments with Random Projection",
  "authors": [
    "Sanjoy Dasgupta"
  ],
  "comment": "Appears in Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (UAI2000)",
  "categories": [
    "cs.LG",
    "stat.ML"
  ],
  "abstract": "Recent theoretical work has identified random projection as a promising dimensionality reduction technique for learning mixtures of Gausians. Here we summarize these results and illustrate them by a wide variety of experiments on synthetic and real data.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2013-01-16T15:49:46.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "experiments",
      "promising dimensionality reduction technique",
      "identified random projection",
      "real data",
      "wide variety"
    ],
    "tags": [
      "conference paper"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}