APPLICATION OF SUPERVISED LEARNING
UNSUPERVISED LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Which of the following are limitations of the k-means algorithm
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It is sensitive to outliers
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It is sensitive to initialisation
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It has exponential time complexity with dataset size
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It is not suitable for datasets containing non hyper-ellipsoids clusters
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Explanation:
Detailed explanation-1: -Kmeans assumes spherical shapes of clusters (with radius equal to the distance between the centroid and the furthest data point) and doesn’t work well when clusters are in different shapes such as elliptical clusters.
Detailed explanation-2: -A dendrogram is not possible for K-Means clustering analysis.
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