摘要
由一名新闻记者兼机器人与机器学习每日新闻编辑每日新闻-关于人工智能ce的详细数据已经呈现。根据NewsRx记者从德黑兰发回的新闻报道，Research称：“在我们之前的工作中，我们提出了一种将DBSCAN和GMM两种无监督算法结合起来的方法，并将该方法应用于基于Gaia EDR3数据的12个开放集群，证明了它在潮汐半径内识别可靠集群成员的有效性。”我们的新闻编辑从阿米卡比尔理工大学的研究中得到一句话：“然而，为了研究星团形态，我们需要一种能够检测潮汐半径内外成员的方法。通过将监督算法引入我们的方法，我们成功地识别了潮汐半径以外的成员。在我们目前的工作中，我们最初使用DBSCAN和GMM来识别星团的可靠成员。随后，我们在我们的研究中使用了DBSCA利用DBSCAN和GMM选取的数据对Rand OM Forest算法进行训练，利用随机FO序列识别潮汐半径以外的聚类成员，并在大范围内观察聚类形态，最后将该方法应用到15个基于Gaia D 3的Ope N聚类中，这些聚类具有广泛的金属丰度、距离、成员和年龄。我们使用King剖面计算了15个星团的潮汐半径，并探测到半径内外的恒星。最后，我们研究了星团内部的质量分离和光度变化。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news reporting originating from Tehran, Ira n, by NewsRx correspondents, research stated, “In our previous work, we introduc ed a method that combines two unsupervised algorithms: DBSCAN and GMM. We applie d this method to 12 open clusters based on Gaia EDR3 data, demonstrating its eff ectiveness in identifying reliable cluster members within the tidal radius.” Our news editors obtained a quote from the research from Amirkabir University of Technology: “However, for studying cluster morphology, we need a method capable of detecting members both inside and outside the tidal radius. By incorporating a supervised algorithm into our approach, we successfully identified members be yond the tidal radius. In our current work, we initially applied DBSCAN and GMM to identify reliable members of cluster stars. Subsequently, we trained the Rand om Forest algorithm using DBSCAN and GMM-selected data. Leveraging the random fo rest, we can identify cluster members outside the tidal radius and observe clust er morphology across a wide field of view. Our method was then applied to 15 ope n clusters based on Gaia DR3, which exhibit a wide range of metallicity, distanc es, members, and ages. Additionally, we calculated the tidal radius for each of the 15 clusters using the King profile and detected stars both inside and outsid e this radius. Finally, we investigated mass segregation and luminosity distribu tion within the clusters.”
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