I have a large data set that I would like to cluster using spherical K means algorithm. However, I am relatively new to this subject and R in general. Most of my knowledge is self taught and I am still in the beginning stages- I have read all about K means clustering in the past few days and I would like to apply it to my own project (184 rows of 4000+ columns containing measurements in decimal values). How and where do I start?
I am trying to teach myself how to go about this in R but I can't seem to find examples online on how to do this, or at least they don't apply to my case. I was wondering if anyone here would know about a step by step tutorial or has access to a script in which a spherical k means clustering has been conducted in R, and if you could share it with me. I have found a few papers but they are very advanced, and most are for text clustering and not numeric values.
I hope this question is not too vague. Does anyone have experience in this subject and could guide me on which steps I have to take to get started? Absolute beginner here, so I apologize if I am completely wrong to ask such a question on this platform.
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