All Questions
4 questions
9
votes
5
answers
3k
views
Dimensionality reduction technique to maximize separation of known clusters?
So let's say I have a bunch of data points in R^n, where n is pretty big (like, 50). I know this data falls into 3 clusters, and I know which cluster each data point is a part of. All I want to do is ...
- 143
9
votes
1
answer
13k
views
Understanding cluster plot and component variability
I have run k-means clustering. I have also plotted the results using the following code in R:
...
- 389
7
votes
3
answers
2k
views
Appropriateness of PCA to visualize clusters in genetic data
I've seen PCA improperly applied in genetic research quite often. I wanted to clarify : when is it appropriate to use PCA as a visualization tool in your analysis?
Some examples:
1) Rarely is the % ...
- 1,661
3
votes
1
answer
8k
views
Interpretation of PCA biplot?
I just ran my first ever PCA, so please excuse any naivety on my part.
As input, I used five years worth of the following:
S&P/ASX 200 A-REIT
S&P/ASX 200 Consumer Discretionary
S&P/ASX ...
- 41