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Day 56 輪廓分析作業的結果, 如何選擇最後K值 - Cupoy

請問在Day56的作業結果,可以看出K=2時變化最劇烈,其次K=5,但是在看圖時, 會覺得K=5的分...

Day 56 輪廓分析作業的結果, 如何選擇最後K值

2022/06/02 下午 09:30
機器學習百日馬拉松
Grace J
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請問在Day56的作業結果,可以看出K=2時變化最劇烈,其次K=5,但是在看圖時, 會覺得K=5的分群似乎比較合理(也是確答案),請問在決定K值時是否會以肉眼判斷納入考量呢?還是只考慮輪廓係數? For n_clusters = 2 The average silhouette_score is : 0.5027144446956527 For n_clusters = 3 The average silhouette_score is : 0.6105565451092732 For n_clusters = 4 The average silhouette_score is : 0.6270122040179333 For n_clusters = 5 The average silhouette_score is : 0.6115749260799671 For n_clusters = 6 The average silhouette_score is : 0.5499388428924794 For n_clusters = 7 The average silhouette_score is : 0.4698787113805506 For n_clusters = 8 The average silhouette_score is : 0.42268682157171733

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