hawks

A package for generating synthetic clusters with control over "difficulty" (by sea-shunned)

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better hawks alternative or higher similarity.

hawks reviews and mentions

Posts with mentions or reviews of hawks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-12.
  • [D] Classical Clustering Benchmarks
    2 projects | /r/MachineLearning | 12 Jan 2022
    Warning - selfish plug. We try to generate sufficiently complex synthetic data with controllable properties specific to clustering in this work: https://ieeexplore.ieee.org/document/9657070. It may be useful to test a method out on, and find out under what conditions (e.g. high cluster eccentricity in higher dimensions) performance degrades. If you try it (available on GitHub), I'd be interested to know how it does!

Stats

Basic hawks repo stats
1
22
0.0
almost 2 years ago

sea-shunned/hawks is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of hawks is Python.


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