cici
2024-11-13 23:13老師這道題為什么和官網(wǎng)不一樣，官網(wǎng)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麻煩解答一下
所屬：FRM Part I > Quantitative Analysis 視頻位置 相關(guān)試題
來源： 視頻位置 相關(guān)試題
1個回答
黃石助教
2024-11-14 09:44
該回答已被題主采納
同學(xué)你好。這邊看同學(xué)上傳的題目和這道官網(wǎng)的題目沒有什么關(guān)系，同學(xué)方便問的詳細(xì)一點。
0
0
0
0
