[
  {
    "title": "nTARP: Cluster Analysis Using Thresholding After Random Projections (n-TARP)",
    "author": [
      {
        "given": "David",
        "family": "Reeping",
        "role": ["aut", "cre"],
        "email": "reepindp@ucmail.uc.edu",
        "comment": {}
      },
      {
        "given": "Yunmeng",
        "family": "Han",
        "role": "aut",
        "email": "hany@ucmail.uc.edu",
        "comment": {}
      },
      {
        "given": "Nahal",
        "family": "Rashedi",
        "role": "rev",
        "email": "rashednl@mail.uc.edu",
        "comment": {}
      }
    ],
    "year": "2026",
    "note": "R package version 0.1.0",
    "url": "https://github.com/datareeper/nTARP"
  },
  {
    "title": "n-TARP Binary Clustering Code",
    "author": [
      {
        "given": "Tarun",
        "family": "Yellamraju",
        "role": "aut",
        "email": {},
        "comment": {}
      },
      {
        "given": "Mireille",
        "family": "Boutin",
        "role": "aut",
        "email": {},
        "comment": {}
      }
    ],
    "year": "2018",
    "journal": "Purdue University Research Repository",
    "doi": "10.4231/R74B2ZJV"
  },
  {
    "title": "n-TARP: A Random Projection Based Method for Supervised and Unsupervised Machine Learning in High Dimensions with Application to Educational Data Analysis",
    "author": [
      {
        "given": "Tarun",
        "family": "Yellamraju",
        "role": "aut",
        "email": {},
        "comment": {}
      }
    ],
    "year": "2019",
    "school": "Purdue University Graduate School"
  },
  {
    "title": "Pattern Dependence Detection Using n-TARP Clustering",
    "author": [
      {
        "given": "Tarun",
        "family": "Yellamraju",
        "role": "aut",
        "email": {},
        "comment": {}
      },
      {
        "given": "Mireille",
        "family": "Boutin",
        "role": "aut",
        "email": {},
        "comment": {}
      }
    ],
    "year": "2018",
    "journal": "arXiv preprint",
    "note": "arXiv:1806.05297"
  }
]