12 Questions
What type of problem does clustering aim to solve?
Grouping items by similarity
Which technique is used to find structure or commonalities in data?
Clustering
What is the primary goal of cluster analysis?
Minimize intra-cluster distances
In K-means clustering, how are items grouped?
Based on similarity
What distinguishes clustering from predictive methods?
It finds similarities and relationships
Which technique is suitable for assigning known labels to objects?
Naïve Bayes
What is the main characteristic of center-based clusters?
Objects in a cluster are closer to the center of that cluster than to any other cluster's center
What does the centroid represent in a cluster?
The average of all points in the cluster
Which distance metric is commonly used in K-means clustering?
Minkowski distance
What is a key requirement for using K-means clustering on data?
The number of clusters (K) must be specified
Why do clusters produced by K-means vary from one run to another?
Because centroids are calculated differently each time
What complexity is associated with K-means clustering?
$O(n * K * I * d)$
Explore different types of problems in analytics and the corresponding techniques used to solve them, such as clustering, association rules, regression, and more. Learn about K-means clustering, Apriori algorithm, linear regression, logistic regression, and other relevant methods.
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