clusterde
Clusterde is a hypothetical cloud-native software framework designed to perform distributed clustering on large-scale datasets. The project envisions scalable tooling for organizing data into groups across computing clusters, with support for both batch and streaming workloads. Note: Clusterde described here is a fictional concept used to illustrate distributed clustering architectures and is not a reference to a real product.
Its core goals include providing pluggable clustering algorithms, a distributed execution engine, and integrations with common
Algorithm support includes standard techniques such as K-means, DBSCAN, and hierarchical clustering, plus a framework for
Deployment and ecosystem: Intended to run on cloud-native environments, with language bindings for Python and Java/Scala
Limitations and status: As a hypothetical concept, Clusterde outlines ideal capabilities but has no official specification
See also cluster analysis, K-means, DBSCAN, hierarchical clustering, and Kubernetes.