annoviko/pyclustering

[pyclustering.cluster.bsas][ccore.clst.bsas] Clustering of stream data

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#423 opened on Apr 28, 2018

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EnhancementGood First Issue

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Description

Introduction Sequential algorithm BSAS can be used for stream processing. Current implementation requires whole dataset at once and adding new point requires to repeat processing again. Therefore new method is required to continue processing is required.

Description Method 'continue(self, data)' should be implemented. Where 'data' is containers of added points. When 'continue()' finish processing, methods 'get_clusters()' and 'get_representatives()' should returned new clusters and representatives.

Interface between pyclustering and its core should be also updated.

Contributor guide

Research direction
Understand the BSAS algorithm and its current implementation in pyclustering and ccore. Study the existing interface for clustering and how representatives and clusters are stored. Implement the 'continue' method to accept new data points and update clusters incrementally. Update the core interface accordingly.
Tech stack
pythoncpp
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.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PythonC++Clustering algorithms
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
50