I am working on image processing. I have to apply k-means upon them. But I am confused with the initialization of k-means that either I should use just first frame or all the frames to initialize it. And each frame is row vector with distinct number of rows.
Kindly clear my concept
Kindly check https://www.kdnuggets.com/2017/03/naive-sharding-centroid-initialization-method.html
Also check https://medium.com/analytics-vidhya/comparison-of-initialization-strategies-for-k-means-d5ddd8b0350e
Chinaza Godswill Awuchi Okay. But I am concerned about the data to be used for initialization of kmeans. As I mentioned, I am working on image processing and I have to pass frames value (comprised of three attributes) to my kmeans. And I am asking that should I use first frames values for kmean initialization or all the frames values?
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