12 Questions
What method can be used to choose the value of K in K-means clustering?
Elbow Method
In K-means clustering, what is the role of the value K?
Number of clusters
Which distance metric is commonly used in calculating distances between data points in K-means clustering?
Euclidean distance
What is the purpose of a dendrogram in hierarchical clustering?
Illustrate the hierarchy of clusters
Which cluster evaluation method compares the average distance between clusters with the average distance within clusters?
Davies–Bouldin Index
What is the result of applying the Elbow Method to determine the optimal number of clusters?
Identifying a point where the rate of decrease sharply changes
What is the main goal of clustering?
To divide data points into groups with similar characteristics
In which type of clustering does each data point belong to a single cluster?
K-means clustering
What is the initial step in the K-means clustering algorithm?
Selecting the number of clusters (K)
Which technique involves the use of probability or likelihood to assign data points to clusters?
Soft clustering
What happens in the K-means algorithm if a data point is reassigned to a different cluster?
A new centroid is placed in the original cluster
Which step indicates the termination of the K-means clustering algorithm?
Repeating the reassignment until convergence
Learn about clustering, the task of dividing data points into groups based on similarity. Explore different types of clustering techniques such as hard clustering (each data point belongs to a single cluster) and soft clustering (data points have probabilities of belonging to clusters).
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