0. Directory.ipynb

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   "source": [
    "## Paper"
   ]
  },
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   "metadata": {},
   "source": [
    "- [Final Version](https://ieeexplore.ieee.org/abstract/document/9978037) - Published in the conference proceedings of the 2022 IEEE Region 10 Conference (TENCON 2022), held virtually and in-person in Hong Kong\n",
    "- [Preprint](https://github.com/memgonzales/meta-learning-clustering/blob/master/Distance%20Metric%20Recommendation%20for%20k-Means%20Clustering%20A%20Meta-Learning%20Approach.pdf)\n",
    "- [TENCON 2022 Presentation Slides](https://github.com/memgonzales/meta-learning-clustering/blob/master/Presentation%20Slides.pdf)"
   ]
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   "source": [
    "## Dataset of Datasets"
   ]
  },
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   "metadata": {},
   "source": [
    "- Dataset of Datasets \n",
    "    - [After One-Hot Encoding (But Prior to Imputation and Normalization)](https://github.com/memgonzales/meta-learning-clustering/tree/master/dataset_of_datasets)\n",
    "        - Note: Datasets whose filenames have the suffix `noheader` do not have header rows.\n",
    "    - Labeled with Distance Metrics\n",
    "        - [Using All 9 Distance Metrics](https://github.com/memgonzales/meta-learning-clustering/blob/master/dataset_labels/csv_collated/results_all_metrics.csv)\n",
    "        - [Using Only Top 3 Distance Metrics (Euclidean, Manhattan, Chebyshev)](https://github.com/memgonzales/meta-learning-clustering/blob/master/dataset_labels/csv_collated/results_top_metrics.csv) <br> <br>\n",
    "   \n",
    "- [Meta-Feature Dataset](https://github.com/memgonzales/meta-learning-clustering/blob/master/dataset_labels/metafeatures_readable_header.csv)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Notebooks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- [Dataset Labeling](https://github.com/memgonzales/meta-learning-clustering/blob/master/1.%20Dataset%20Labeling.ipynb)\n",
    "- [Meta-Feature Extraction](https://github.com/memgonzales/meta-learning-clustering/blob/master/2.%20Meta-Feature%20Extraction.ipynb)\n",
    "- [Model Building and Evaluation](https://github.com/memgonzales/meta-learning-clustering/blob/master/3.%20Model%20Building%20%26%20Evaluation.ipynb)"
   ]
  }
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