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FeatTS is a Semi-Supervised Clustering method that leverages features extracted from the raw time series to create clusters that reflect the original time series.

License: GNU General Public License v3.0

Python 100.00%
time-series clustering features-extraction time-series-clustering papers

featts's Introduction

Hi, I'm Donato ๐Ÿ•ต๐Ÿ“Š

Iโ€™m a true Data Enthusiast, and nothing excites me more than finding order in chaos! ๐Ÿ“Šโœจ

Currently, I'm a Postdoctoral Researcher at Softlab, diving deep into Data Analytics.

Some highlights of me:

  • ๐Ÿ“ I've a bunch of papers accepted at top conferences.
  • ๐Ÿคณ I'm the social media manager and content creator of Milano Azzurra 1984, a page with more than 1k followers.
  • ๐Ÿค– I'm a huge fan of GenAI and prompting for producing art.
    • ๐ŸŽต Soundraw for generating new beats
    • ๐Ÿ–Œ๏ธ LeonardoAI for generating new images
  • ๐ŸŒฑ Iโ€™m currently learning Spanish to add another language to my repertoire after Italian, Neapolitan, English, and French.
  • ๐Ÿ‘ฏ Iโ€™m looking to collaborate on these new interesting technologies:

๐Ÿ› ๏ธ Languages and Tools :

Pythonย  ScikitLearnย  NetworkXย  Numpyย  Tensorflowย  Rย  Cย  Cย  Javaย 

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