Monthly Archives: January 2016

A modified hyperplane clustering algorithm allows for efficient and accurate clustering of extremely large datasets

A modified hyperplane clustering algorithm allows for efficient and accurate clustering of extremely large datasets Motivation: As the number of publically available microarray experiments increases, the ability to analyze extremely large datasets across multiple experiments becomes critical. There is a … Continue reading

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Data stream clustering – Wikipedia, the free encyclopedia

Data stream clustering – Wikipedia, the free encyclopedia https://en.m.wikipedia.org/wiki/Data_stream_clustering

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Machine learning toolkit / MS CNTK

http://techcrunch.com/2016/01/25/microsoft-moves-its-cntk-machine-learning-toolkit-to-github/

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Docker in Windows

http://ppanyukov.github.io/2015/05/21/how-to-run-redis-in-docker-on-windows.html

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cluster in service fabric

https://azure.microsoft.com/en-us/documentation/articles/service-fabric-visualizing-your-cluster/

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Service Fabric cluster

https://azure.microsoft.com/en-us/documentation/articles/service-fabric-set-up-continuous-integration/

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Redis react

https://github.com/ServiceStackApps/RedisReact#download

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