python - How to use the sklearn.cluster.MeanShift algorithm? -


i have problem need predict list of objects based on previous history of usage of objects. recommendation system in short.

i figured can use clustering on existing data, , try find pattern among clusters.

for came acros scikit-learn library in python, , think work.

but need know how use 1 of clustering algorithms(say meanshift) , since examples provide work on own datasets provided in library itself.

so,

  1. how organize data can use meanshift class sklearn.cluster package?

  2. my data points multidimensional, able use sklearn package in first place? haven't mentioned constraints.

  3. if can cluster multidimensional data points, have dimensionality reduction? ( don't know how either, aware of concept)

i have done data mining in 1 of courses, these new waters me, in terms of pointing resources/tutorials appreciated hightly.

thank you.


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