MMKK++ algorithm for clustering heterogeneous images into an unknown number of clusters
In this paper we present a suggested automatic clustering procedure with the main aim to predict the number of clusters of unknown, heterogeneous images. We used the state-of-the-art Fisher-vector for mathematical representation of the images and these vectors were considered as input data points fo...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Computer Vision Center Press
2018-01-01
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| Series: | ELCVIA Electronic Letters on Computer Vision and Image Analysis |
| Subjects: | |
| Online Access: | https://elcvia.cvc.uab.es/article/view/1054 |