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Update guide to navigating through the repository
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memgonzales committed Apr 30, 2023
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32 changes: 17 additions & 15 deletions 0. Directory.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Paper"
]
},
{
"cell_type": "markdown",
"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)"
]
},
{
"cell_type": "markdown",
"metadata": {},
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"- [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)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Paper"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- [Preprint version accepted for paper presentation in 2022 IEEE Region 10 Conference (TENCON 2022)](https://github.com/memgonzales/meta-learning-clustering/blob/master/Distance%20Metric%20Recommendation%20for%20k-Means%20Clustering%20A%20Meta-Learning%20Approach.pdf)"
]
}
],
"metadata": {
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.6"
"version": "3.7.15"
}
},
"nbformat": 4,
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