December 2018
Intermediate to advanced
764 pages
18h 18m
English
Face clustering is the process of grouping images of the same person together for albums. The embeddings of faces can be extracted, and a clustering algorithm such as K-means can be used to club the faces of the same person together. TensorFlow provides an API called tf.contrib.learn.KmeansClustering for the K-means algorithm. The K-means algorithm groups the data points together. With the help of this K-means algorithm, the embeddings of an album can be extracted and the faces of individuals can be found together, or in other words, clustered together.
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