yzhao062/pyod

Support for kernel PCA method to handle nonlinear data distribution

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#370 opened on Feb 18, 2022

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 (4 comments) (0 reactions) (0 assignees)Python (7,762 stars) (1,308 forks)batch import
help wanted

Description

Is it planned to implement kernel PCA method in PYOD?

Reference: Section 3.3.8 (, and Section 4.2.1) of "Outlier Analysis" by C.C. Aggarwal

Contributor guide

Tech stack
pythonscikit learn
Domain
machine learningdata
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
needs maintainer response
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
mostly clear
Prerequisites
outlier detection basicsPCA knowledgekernel methodsPython
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
50
Research direction
Explore existing PCA implementation in pyod (likely in pyod/models/pca.py) and how other models are structured. Consider using sklearn.decomposition.KernelPCA as a base and adapting it for outlier detection using reconstruction error. Check issue comments for any previous discussion or maintainer feedback. Propose an implementation plan and seek maintainer approval before coding.