首页|Technical University Munich (TUM) Reports Findings in Machine Learning (AAclust: k-optimized clustering for selecting redundancyreduced sets of amino acid scal es)
Technical University Munich (TUM) Reports Findings in Machine Learning (AAclust: k-optimized clustering for selecting redundancyreduced sets of amino acid scal es)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting from Freising, Germany, by Ne wsRx journalists, research stated, “Amino acid scales are crucialfor sequence-b ased protein prediction tasks, yet no gold standard scale set or simple scale se lectionmethods exist. We developed AAclust, a wrapper for clustering models tha t require a pre-defined numberof clusters , such as -means.”
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