I am doing clustering on cloud using AWS to check the clustering time. I used two different libraries sagemaker (a library provided by AWS) and sklearn library I downloaded on EC2. I got totally different results from each. The sklearn library downloadedd on EC2 gave me very less clustering time. I was wondering to use which one in my project and why? With considering that in my project I need to get less clustering time as possible.
Dear Zainab Salman
Sklearn.
Please look here, see if helps:
https://www.upgrad.com/blog/scikit-learn-in-python/
Good luck in your R&D
You can use AWS SageMaker to train and deploy a model using custom Scikit-learn code. An algorithm suitable for determining topics in a set of documents. It is an unsupervised algorithm, which means that it doesn't use example data with answers during training.
https://www.sevenmentor.com/amazon-web-services-training-institute-in-pune.php