This is the Linux app named DeepCluster whose latest release can be downloaded as deepclustersourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named DeepCluster with OnWorks for free.
请按照以下说明运行此应用程序：
- 1. 在您的 PC 中下载此应用程序。
- 2. 在我们的文件管理器 https://www.onworks.net/myfiles.php?username=XXXXX 中输入您想要的用户名。
- 3. 在这样的文件管理器中上传这个应用程序。
- 4. 从此网站启动OnWorks Linux online 或Windows online emulator 或MACOS online emulator。
- 5. 从您刚刚启动的 OnWorks Linux 操作系统，使用您想要的用户名转到我们的文件管理器 https://www.onworks.net/myfiles.php?username=XXXXX。
- 6. 下载应用程序，安装并运行。
SCREENSHOTS
Ad
深度聚类
商品描述
DeepCluster is a classic self-supervised clustering-based representation learning algorithm that iteratively groups image features and uses the cluster assignments as pseudo-labels to train the network. In each round, features produced by the network are clustered (e.g. k-means), and the cluster IDs become supervision targets in the next epoch, encouraging the model to refine its representation to better separate semantic groups. This alternating “cluster & train” scheme helps the model gradually discover meaningful structure without labels. DeepCluster was one of the early successes in unsupervised visual feature learning, demonstrating that clustering-based reformulation can rival supervised baselines for many downstream tasks. The repository includes code for feature extraction, clustering, training loops, and evaluation benchmarks like linear probes. Because of its simplicity and modular design, DeepCluster has inspired many later methods.
功能
- Unsupervised learning via iterative clustering and pseudo-label supervision
- Alternating pipeline: cluster features → use cluster IDs to train network
- Support for k-means or other clustering algorithms in feature space
- Training and evaluation scripts for downstream tasks (classification, detection)
- Modular code to swap network architectures or clustering methods
- Baseline reference for many later self-supervised approaches
程式语言
Python
分类
This is an application that can also be fetched from https://sourceforge.net/projects/deepcluster.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
