Unsupervised learning is a type of machine learning where the algorithm is not given labeled data, but must instead find patterns and relationships in the data on its own. This approach is useful for discovering hidden structures in large, complex datasets, and can provide valuable insights into the underlying structure of the data. In this article, we will be exploring the 10 best datasets for unsupervised learning in 2023.
Dataset Name | Type of Data | Size | Download Link | Description |
---|---|---|---|---|
MNIST | Handwritten Digits | 70,000 Images | http://yann.lecun.com/exdb/mnist/ | The MNIST dataset contains handwritten digit images with labels, used for unsupervised learning tasks such as clustering and dimensionality reduction. |
Fashion MNIST | Fashion Images | 70,000 Images | https://github.com/zalandoresearch/fashion-mnist | The Fashion MNIST dataset contains fashion images with labels, used for unsupervised learning tasks such as clustering and dimensionality reduction. |
CIFAR-10 | Real-world Images | 50,000 Images | https://www.cs.toronto.edu/~kriz/cifar.html | The CIFAR-10 dataset contains real-world images with labels, used for unsupervised learning tasks such as clustering and dimensionality reduction. |
Iris | Iris Flower Data | 150 Instances | https://archive.ics.uci.edu/ml/datasets/Iris | The Iris dataset contains measurements of iris flower data, used for unsupervised learning tasks such as clustering and dimensionality reduction. |
Wine | Wine Data | 178 Instances | https://archive.ics.uci.edu/ml/datasets/Wine | The Wine dataset contains wine data, used for unsupervised learning tasks such as clustering and dimensionality reduction. |
Breast Cancer | Medical Data | 569 Instances | https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Diagnostic%29 | The Breast Cancer dataset contains medical data, used for unsupervised learning tasks such as clustering and dimensionality reduction. |
Olivetti Faces | Face Images | 400 Images | https://scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_olivetti_faces.html | The Olivetti Faces dataset contains face images, used for unsupervised learning tasks such as clustering and dimensionality reduction. |
Digits | Handwritten Digits | 1,797 Instances | https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html | The Digits dataset contains handwritten digit images, used for unsupervised learning tasks such as clustering and dimensionality reduction. |
20 Newsgroups | Text Data | 18,846 Documents | http://qwone.com/~jason/20Newsgroups/ | The 20 Newsgroups dataset contains text data, used for unsupervised learning tasks such as clustering and dimensionality reduction. |
S-curve | Synthetic Data | 3,000 Instances | https://scikit-learn.org/stable/modules/generated/sklearn.datasets.make_s_curve.html | The S-curve dataset contains synthetic data, used for unsupervised learning tasks such as clustering and dimensionality reduction. |