scikit-learn/scikit-learn

Consensus Index for Clustering Model Selection

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#11,778 opened on Aug 7, 2018

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 (6 comments) (1 reaction) (0 assignees)Python (27,020 forks)batch import
Documentationhelp wantedmodule:cluster

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Description

The sentence:

XXX can also be useful in a purely unsupervised setting as a
  building block for a Consensus Index that can be used for clustering
  model selection (TODO).

is in the description of every clustering metric that requires a ground truth label. Is there a write-up somewhere of an example workflow to build such a Consensus Index using these metrics? I searched through old issues and the original PRs creating this documentation and I can't see anything that looks like that. Though to be fair, I'm a big dummy, so I could just be missing it. If there isn't, is this TODO still really a TODO and is there an existing issue for it that I'm also too dumb to find? Thanks!

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cc @ogrisel since you seem to be the og implementor and the original author of these docs.

Contributor guide

Research direction
Check the existing documentation and issues for a Consensus Index example or TODO resolution.
Tech stack
python
Domain
data
Issue type
Documentation
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
1
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Under 1 hour
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Needs investigation
Prerequisites
Python
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
90