Curriculum Vitae (CV) available in English and Russian
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2021 - 2023: MSc, Data Science and Artificial Intelligence: Eindhoven University of Technology (TU/e)
- Graduation Thesis: Robust Deep Spectral Clustering (Supervisor: dr. Sibylle Hess, Grade: 8/10)
- Tracks: Data mining and Machine Learning, AI and Machine Learning
- GPA: 8/10
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2017 - 2021: BSc, Business Informatics: Higher School of Economics (HSE)
- Graduation Thesis: Application of Anomalous Clustering Methods for Determination of the Number of Clusters (Supervisor: prof. Boris Mirkin, Grade: 9/10)
- Track: Data Analysis in Business
- GPA: 9/10
- Rykov, A., De Amorim, R. C., Makarenkov, V., & Mirkin, B. (2024). Inertia-based indices to determine the number of clusters in K-means: an experimental evaluation. IEEE Access link
- Rykov, A., Hess, S. (2023). Robust Deep Spectral Clustering. BNAIC BeNeLearn 2023, Type D: Student Thesis Abstracts link
- Cluster analysis
- Internal cluster validation
- Optimal graph building for Deep Spectral Map
- Domain knowledge incorporation into similarity metric in learned embedding space
- Deep Learning
- Investigation of internal manifold transformations throughout the optimization process and the depth of the model
- Control of data transformations
- Topological Data Analysis