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FRM一级
包含FRM一级传统在线课程、通关课程及试题相关提问答疑;
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老师这道题为什么和官网不一样,官网是:A quantitative analyst at a proprietary trading firm is incorporating unsupervised machine learning (ML) algorithms into the firm’s technical analysis of equities by using K-means clustering. The clustering algorithm will be applied to continuous volatility data in order to group observations into clusters that can be used to identify the current market regime. Since clusters close to each other are likely to exhibit similar characteristics, the analyst measures the distances between the observations within each cluster and the centroid of that cluster. If the analyst wants to ensure that the minimum distance is obtained for the continuous data clusters when applying the K-means algorithm, which measure should be used to achieve the desired outcome? A.Euclidean distance B.Manhattan distance C.Cook’s distance D.Gini measure麻烦解答一下
查看试题 已回答精品问答
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- 我怎么感觉这题不太对呢。特别是C/D两个,都是需要股价上去才可能有利,所以逻辑是一样啊,都是做高业绩,但是C反正都遥遥无期,动力没那么足吧。B现在是平值,就差那一把火就能盈利了所以应该最要努力把业绩做起来吧?A也是,你既然都深度实值了,赶紧卖了得了,还做什么风险管理。这题我都不懂
- Bsm模型中,N(d2)代表行权概率,N(d1)代表什么概率?
- 直接看选项吧,B选项错在哪里?
