![Unsupervised Learning in R: Comparison of the methods to determine the optimal number of clusters on different data sets | by Fatih Emre Ozturk | Medium Unsupervised Learning in R: Comparison of the methods to determine the optimal number of clusters on different data sets | by Fatih Emre Ozturk | Medium](https://miro.medium.com/v2/resize:fit:1120/1*SKIZo_HuPk-nmK43tMSKXA.jpeg)
Unsupervised Learning in R: Comparison of the methods to determine the optimal number of clusters on different data sets | by Fatih Emre Ozturk | Medium
![Fiducial perturbative power corrections within the $$\mathbf{q}_T$$ subtraction formalism | The European Physical Journal C Fiducial perturbative power corrections within the $$\mathbf{q}_T$$ subtraction formalism | The European Physical Journal C](https://media.springernature.com/m685/springer-static/image/art%3A10.1140%2Fepjc%2Fs10052-022-10510-x/MediaObjects/10052_2022_10510_Fig3_HTML.png)
Fiducial perturbative power corrections within the $$\mathbf{q}_T$$ subtraction formalism | The European Physical Journal C
![Unsupervised Learning in R: Comparison of the methods to determine the optimal number of clusters on different data sets | by Fatih Emre Ozturk | Medium Unsupervised Learning in R: Comparison of the methods to determine the optimal number of clusters on different data sets | by Fatih Emre Ozturk | Medium](https://miro.medium.com/v2/resize:fit:1120/1*_fuVtcXh1ZYg5EvgRm02uw.jpeg)
Unsupervised Learning in R: Comparison of the methods to determine the optimal number of clusters on different data sets | by Fatih Emre Ozturk | Medium
![Functional Principal Component Analysis and Functional Data | by Johannes Wohlenberg | Towards Data Science Functional Principal Component Analysis and Functional Data | by Johannes Wohlenberg | Towards Data Science](https://miro.medium.com/v2/resize:fit:640/1*AKwrh0GkjURrmSNxv8W07Q.png)
Functional Principal Component Analysis and Functional Data | by Johannes Wohlenberg | Towards Data Science
![Design space of the formulation process of a food suspension by D-optimal mixture experiment and functional data analysis - ScienceDirect Design space of the formulation process of a food suspension by D-optimal mixture experiment and functional data analysis - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S0960308521000250-gr3.jpg)
Design space of the formulation process of a food suspension by D-optimal mixture experiment and functional data analysis - ScienceDirect
How to show fit line graphs in a single report, without the tables and line lege... - JMP User Community
![BG - Sinking fate and carbon export of zooplankton fecal pellets: insights from time-series sediment trap observations in the northern South China Sea BG - Sinking fate and carbon export of zooplankton fecal pellets: insights from time-series sediment trap observations in the northern South China Sea](https://bg.copernicus.org/articles/20/5109/2023/bg-20-5109-2023-f12.png)
BG - Sinking fate and carbon export of zooplankton fecal pellets: insights from time-series sediment trap observations in the northern South China Sea
![Supervised classification of curves via a combined use of functional data analysis and tree-based methods | Computational Statistics Supervised classification of curves via a combined use of functional data analysis and tree-based methods | Computational Statistics](https://media.springernature.com/m685/springer-static/image/art%3A10.1007%2Fs00180-022-01236-1/MediaObjects/180_2022_1236_Fig4_HTML.png)