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zhoushengisnoob/DeepClustering resource

Methods and Implements of Deep Clustering observed · 2026-08-28

github.com/zhoushengisnoob/DeepClustering observed · 2026-08-28

Health v2 · maintenance only

77/100

  • Activity 99
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2998
  • days_rel: n/a
  • days_push: 10
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

3061 stars · 424 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated reading list of papers, surveys, and public codebases on deep clustering and related clustering methods. It accompanies an ACM Computing Surveys paper and serves as a research entry point for the field.

Use cases

  • find papers on deep clustering
  • learn about unsupervised deep learning clustering methods
  • find open-source implementations of clustering algorithms
  • survey multi-view and subspace clustering research
  • get started researching deep clustering

When to choose

  • you need a curated overview of deep clustering literature
  • you want links to reference implementations of clustering methods
  • you are writing a literature review on clustering

When to avoid

  • you need a ready-to-run clustering library
  • you want production clustering tooling rather than papers

Facets

learning-resource · maturity active

machine-learning data-science machine-learning artificial-intelligence tutorials cross-platform deep-clustering awesome-list reading-list survey unsupervised-learning

1 source

Member repositories

RepositoryRoleHealth v2
zhoushengisnoob/DeepClusteringmain77

For agents

markdown · JSON · MCP: product_card(name="zhoushengisnoob/DeepClustering")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem