The process of identifying the appropriate value of k is referred to as finding the ‘elbow’ of the WSS curve.TrueFalse
Question
The process of identifying the appropriate value of k is referred to as finding the ‘elbow’ of the WSS curve.
True/False
Solution
Answer
True.
The process of identifying the appropriate value of in the context of clustering algorithms, particularly K-means, is indeed referred to as finding the 'elbow' of the Within-Cluster Sum of Squares (WSS) curve. This curve shows the relationship between the number of clusters and the total WSS, which measures how well the data points are clustered. As the number of clusters increases, the WSS decreases. The 'elbow' point on the curve indicates the optimal number of clusters by balancing the trade-off between the model's complexity and the variance explained. This is a critical step in determining an effective clustering solution.
Similar Questions
Generally speaking, the kth percentile is a value at or below which at least k percent of the observations lie. Group of answer choicesTrueFalse
If the given equation is true for all values of where is a constant, then what is the value of ?
Why is the KNN Algorithm known as Lazy Learner? How to find the best value for K in the KNN algorithm? Justify your(5+10=15 marks)answer
A curve with a equation of “y=1+k*sin(x)”, x are defined for between 0 and 3pi, show that k equals to -6
The O a. lower, higher O b. higher, more O c. flattest, lower O d. steepest, more constant the curvature of the Isoquant, the the substitution between K and L.
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.