2023年9月25日 · Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can …

NeuralMesh by WEKA is a containerized, distributed AI storage system purpose-built to move data at the speed of AI — adaptive, scalable, and fully optimized for real-world AI workloads.

2025年10月16日 · Weka is an open-source machine-learning workbench from the University of Waikato that aggregates algorithms and utilities for data preparation, modeling, and evaluation.

Weka contains a collection of visualization tools and algorithms for data analysis and predictive modeling, together with graphical user interfaces for easy access to these functions. [1]

Weka is open-source machine learning software issued under the GNU General Public License.

There are two versions of Weka: Weka 3.8 is the latest stable version and Weka 3.9 is the development version. New releases of these two versions are normally made once or twice a …

2025年10月28日 · Weka is an open-source software tool developed at the University of Waikato, New Zealand for machine learning and data mining. It offers an easy-to-use environment for …

NeuralMesh™ by WEKA® organizes its capabilities into five key components—Core, Accelerate, Deploy, Observe, and Enterprise Services—that work together to fuel high-performance AI at any …

milar instances in the entire dataset. WEKA supports several clustering algorithms such as EM, FilteredClusterer, Hierarc icalClusterer, SimpleKMeans and so on. You should understand these …

2025年10月30日 · The WEKA NeuralMesh high-performance AI file system software will be able to run in Nvidia’s forthcoming Bluefield-4 DPUs.