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git-sandro 2026-01-24 13:41:32 +01:00
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@ -76,6 +76,7 @@ x = [1, 2, 3, 4, 5], y = [2, 3, 5, 4, 6] \\
y = mx+c y = mx+c
$$ $$
1. x, y Tabelle erstellen 1. x, y Tabelle erstellen
<div align="center">
||x|y|x*y|x<sup>2<sup>| ||x|y|x*y|x<sup>2<sup>|
|---|---|---|---|---| |---|---|---|---|---|
||1|2|2|1| ||1|2|2|1|
@ -84,13 +85,16 @@ $$
||4|4|16|16| ||4|4|16|16|
||5|6|30|25| ||5|6|30|25|
|$$\sum$$|**15**|**20**|**69**|**55**| |$$\sum$$|**15**|**20**|**69**|**55**|
</div>
2. c Wert berechnen 2. *c* Wert berechnen
$$ $$
c = \frac{\sum_y * \sum_x - \sum_x * \sum_{xy}}{n(\sum_{x^2}) - (\sum_x)^2} \\[1em] c = \frac{\sum_y * \sum_x - \sum_x * \sum_{xy}}{n(\sum_{x^2}) - (\sum_x)^2} \\[1em]
c = \frac{20 * 55 - 15 * 69}{5*55 - 15^2} = 1.3 c = \frac{20 * 55 - 15 * 69}{5*55 - 15^2} = 1.3
$$ $$
3. *m* Wert berechnen
## Klassifikation ## Klassifikation
## Unsupervised Learning Clustering ## Unsupervised Learning Clustering