# zhoushengisnoob/DeepClustering

Methods and Implements of Deep Clustering

Repository: https://github.com/zhoushengisnoob/DeepClustering
Canonical: https://ross.abutalabs.com/products/deepclustering
License Family: other
Last push: 2026-08-24T00:17:59+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 2998, "days_push": 10, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3061, forks 424 (observed 2026-08-28T04:07:41.154380+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: active
- function: machine-learning, data-science
- domain: machine-learning, artificial-intelligence, tutorials
- platform: cross-platform
- tags: deep-clustering, awesome-list, reading-list, survey, unsupervised-learning

## Member repositories
- zhoushengisnoob/DeepClustering (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:41.154380+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:28:22.527786+00:00, confidence not recorded.
  - readme: https://github.com/zhoushengisnoob/DeepClustering (fetched 2026-08-28T04:07:41.154380+00:00, sha c0e194e5ffb8)
- Data as of 2026-08-30T08:39:29.467469+00:00.