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implement front-end clustering #1

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cornhundred opened this issue Apr 29, 2019 · 2 comments
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implement front-end clustering #1

cornhundred opened this issue Apr 29, 2019 · 2 comments
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enhancement New feature or request

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@cornhundred
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Use the custom version of clusterfck (https://harthur.github.io/clusterfck/) to implement front-end clustering (e.g. load csv of data and cluster) and re-clustering (e.g. after performing arbitrary filtering). This will be useful for simplifying the deployment of Clustergrammer-gl (no need for clustering on python), Clustergrammer2 arbitrary re-clustering, and deploying Clustergrammer-gl as a standalone library on observable.hq.
@cornhundred cornhundred added the enhancement New feature or request label Apr 29, 2019
@cornhundred cornhundred mentioned this issue Apr 29, 2019
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@cornhundred
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We're getting closer to getting this working. We just need a user interface and we want to move the calculation to a Web Worker https://youtu.be/EiPytIxrZtU

This reclustering is closely related to dendrogram improvements

@cornhundred
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This has been implemented in version 0.12.0. We're moving onto improved dendrogram slicing using the recluster linkage matrix slicing code.

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