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I'm writing my Bachelor Thesis within the field of neural networks and I need some preparation of the data I'm using. Do you have an idea how I am able to identify the four levels in this graph via machine learning? Especially changing points are of importance for me. In this case it would be the x-values roundabout 2700, 3700 and 4700. I already thought of Clustering, but since I'm interested of the different levels, this does not quite work out. Graph of the values to be sorted

Thankyou, Lukas

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    $\begingroup$ Why do you say the clustering would not work? $\endgroup$ – nbro Jan 20 at 22:37
  • $\begingroup$ What is the dimension of your x-axis? time? $\endgroup$ – peteR Jan 20 at 22:40
  • $\begingroup$ @nbro The cluster methods I used, did not work. For example k-means.. Do you have a cluster method in mind, that could work? $\endgroup$ – lukas_ben Jan 20 at 23:24
  • $\begingroup$ @peteR It's measured data over a period of one hour. $\endgroup$ – lukas_ben Jan 20 at 23:24
  • $\begingroup$ stats.stackexchange.com/questions/131281/… $\endgroup$ – peteR Jan 20 at 23:42
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Search for "change point detection" and "change in mean" and you will find various classic textbooks and surveys on this.

Basseville, M. (1988). Detecting changes in signals and systems-A survey. Automatica, 24(3), 309-326.

Basseville, Michèle, and Igor V. Nikiforov. Detection of abrupt changes: theory and application. Vol. 104. Englewood Cliffs: Prentice Hall, 1993.

Sen, Ashish, and Muni S. Srivastava. "On tests for detecting change in mean." The Annals of statistics (1975): 98-108.

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