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NEW QUESTION: 1
K-meansアルゴリズムを使用してクラスタリングを実行しています。
可能な終了条件を定義する必要があります。
どの3つの条件を使用できますか？それぞれの正解は完全な解決策を提示します。
注：それぞれの正しい選択には1ポイントの価値があります。
A. 残差平方和（RSS）がしきい値を超えています。
B. 残差平方和（RSS）がしきい値を下回ります。
C. 重心は反復間で変化しません。
D. 重心間の距離の合計が最大になります。
E. 固定回数の反復が実行されます。
Answer: B,C,E
Explanation:
説明
参照：
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/k-means-clustering
https://nlp.stanford.edu/IR-book/html/htmledition/k-means-1.html
NEW QUESTION: 2
DRAG DROP
Select and Place:
Capabilities of SNMP are dependent on the version implemented. Drag the feature descriptions on the left to the respective SNMP.
Select and Place:
Answer:
Explanation:
NEW QUESTION: 3
To assist with perceived performance issues prior to product installation, the DLP End point
Administrator could prepare by
A. establishing a system baseline.
B. disabling unused modules.
C. enabling the system watch dog service.
D. distributing agent override codes.
Answer: A