clustering

How to implement the K-means algorithm in Tensorflow

The K-means algorithm is a simple clustering algorithm. It is an unsupervised learning algorithm, therefore it automatically finds structure in unordered data. Since TensorFlow does not have a native implementation, it’s useful to know the tips and tricks to implement K-means. I’m hoping to use K-means in an upcoming post, so I want to explain

How to implement the K-means algorithm in Tensorflow Read More »