Unsupervised Learning can be defined as a class of Machine Learning where different techniques are used to find patterns in the data. The data feeded to unsupervised algorithms are not labelled. This ...

An unsupervised image clustering algorithm that uses VGGNet for image transformation. Python, scikit-learn and tensorflow. 106 stars 36 forks Branches Tags Activity ...

We propose a novel neuro-dynamic method for unsupervised image clustering by combining 2 biologically-motivated models: Adaptive Resonance Theory (ART) and Convolutional Neural Networks (CNN). ART ...

In this paper, we combine discrete and continuous image models with information-theoretic-based criteria for unsupervised hierarchical image-set clustering. The continuous image modeling is based on ...

The usage of convolutional neural networks (CNNs) for unsupervised image segmentation was investigated in this study. Similar to supervised image segmentation, the proposed CNN assigns labels to ...

While supervised learning techniques have become increasingly adept at separating images into different classes, these techniques require large amounts of labelled data which may not always be ...