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| en:iot-reloaded:clustering_models [2024/12/10 21:34] – pczekalski | en:iot-reloaded:clustering_models [2024/12/10 21:34] (current) – pczekalski | ||
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| ==== Data preprocessing before clustering ==== | ==== Data preprocessing before clustering ==== | ||
| - | Before starting clustering, several | + | Before starting clustering, several |
| * **Check if the used data is metric:** In clustering, the primary measure is Euclidian distance (in most cases), which requires numeric data. While it is possible to encode some arbitrary data using numerical values, they must maintain the semantics of numbers, i.e. 1 < 2 < 3. Good examples of natural metric data are temperature, | * **Check if the used data is metric:** In clustering, the primary measure is Euclidian distance (in most cases), which requires numeric data. While it is possible to encode some arbitrary data using numerical values, they must maintain the semantics of numbers, i.e. 1 < 2 < 3. Good examples of natural metric data are temperature, | ||
