Question
a.
Agglomerative works in a bottom-up fashion, while divisive works in a top-down fashion.
b.
Agglomerative uses partitional clustering, while divisive uses hierarchical clustering.
c.
Agglomerative requires a fixed number of clusters, while divisive does not.
d.
Agglomerative uses Euclidean distance, while divisive uses Manhattan distance.
Posted under Big Data Computing
Engage with the Community - Add Your Comment
Confused About the Answer? Ask for Details Here.
Know the Explanation? Add it Here.
Q. What is the primary difference between agglomerative and divisive hierarchical clustering?
Similar Questions
Discover Related MCQs
Q. In logistic regression, what is the dependent variable typically referred to as?
View solution
Q. What does the conditional probability of a category given the input represent in logistic regression?
View solution
Q. How is logistic regression different from linear regression?
View solution
Q. What type of table shows correct and incorrect classifications in logistic regression?
View solution
Q. What is the primary focus of reinforcement learning in machine learning?
View solution
Q. Which area of study in a control system deals with understanding the effect of inputs on the output?
View solution
Q. What is one of the challenges presented by dynamic systems in control theory?
View solution
Q. What does Gaussian processes offer as a family of stochastic processes in modeling dynamics?
View solution
Q. In the context of active learning, what does "exploitation" refer to?
View solution
Q. What is one of the design choices involved in modeling dynamic systems for learning and optimization?
View solution
Q. What does the Bayesian optimal control framework facilitate when modeling dynamic systems?
View solution
Q. Which machine learning approach is suitable for learning feedback operators in dynamic systems?
View solution
Q. What is the primary goal of feature construction in machine learning?
View solution
Q. What is a key challenge that smart cities aim to address using interconnected information?
View solution
Q. How can optimization algorithms help in smart city applications, such as water management?
View solution
Q. What is the main advantage of smarter traffic systems in urban areas?
View solution
Q. What is the primary focus of customer analytics in CRM BPO?
View solution
Q. What is one of the main challenges addressed in customer analytics?
View solution
Q. How does customer analytics handle concept expansion?
View solution
Q. Why is unstructured data considered valuable in generating business insights?
View solution
Suggested Topics
Are you eager to expand your knowledge beyond Big Data Computing? We've curated a selection of related categories that you might find intriguing.
Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!
