Hi,
I have started exploring clustering machine learning algorithms and focusing on commonly known algorithms like:
- K-means
- Fuzzy C-means
- Hierarchical clustering
- Mixture of Gaussians
Please suggest that these algorithms is good to start or should I focus on other algorithms also. Also, please help with good resources to explore these algorithms in detail using R and Python.
Thanks,
Mark