- Supervised Learning
- Classification
- Regression
- Time Series Forecasting
- Unsupervised Learning
- Clustering
- K-Means Clustering
- Hierarchical Clustering
- Semi-Supervised Learning
- Reinforcement Learning(ML)
- Deep Learning(ML)
- Transfer Learning(ML)
- Ensemble Learning
- Explainable AI (XAI)
- Bayesian Learning
- Decision Trees
- Support Vector Machines (SVMs)
- Instance-Based Learning
- Rule-Based Learning
- Neural Networks
- Evolutionary Algorithms
- Meta-Learning
- Multi-Task Learning
- Metric Learning
- Few-Shot Learning
- Adversarial Learning
- Data Pre Processing
- Natural Language Processing(ML)
Hierarchical Clustering QUIZ QUESTIONS
Question: 1
What are the two main types of hierarchical clustering?
Question: 2
In agglomerative hierarchical clustering, what does the algorithm begin with?
Question: 3
In divisive hierarchical clustering, what does the algorithm begin with?
Question: 4
What is a dendrogram?
Question: 5
What is the purpose of a linkage function in hierarchical clustering?
Question: 6
What is single linkage in hierarchical clustering?
Question: 7
What is complete linkage in hierarchical clustering?
Question: 8
What is average linkage in hierarchical clustering?
Question: 9
How is the optimal number of clusters determined in hierarchical clustering?
Question: 10
What is the main advantage of hierarchical clustering over K-means clustering?
Question: 11
Which of the following is a limitation of hierarchical clustering?
Question: 12
Which of the following is NOT a distance metric used in hierarchical clustering?
Question: 13
In hierarchical clustering, which of the following techniques can be used to handle categorical data?
Question: 14
What is Ward's method in hierarchical clustering?
Question: 15
Can hierarchical clustering be used for outlier detection?
Question: 16
Which of the following is a disadvantage of hierarchical clustering compared to K-means clustering?
Question: 17
How is the cophenetic correlation coefficient used in hierarchical clustering?
Question: 18
Which of the following is NOT a common stopping criterion for hierarchical clustering?
Question: 19
What is the primary difference between bottom-up and top-down hierarchical clustering?
Question: 20
Which distance metric is more appropriate for high-dimensional data in hierarchical clustering?
Question: 21
Can hierarchical clustering handle missing data?
Question: 22
What is the primary advantage of using hierarchical clustering for time series data?
Question: 23
How does dynamic time warping (DTW) distance differ from other distance metrics in hierarchical clustering for time series data?
Question: 24
How can hierarchical clustering be used for feature selection?
Question: 25
What is the primary goal of cluster validation in hierarchical clustering?
Question: 26
What is the silhouette score in hierarchical clustering?
Question: 27
Can hierarchical clustering be applied to text data?
Question: 28
What is the main difference between hierarchical clustering and partitional clustering methods?
Question: 29
How can hierarchical clustering be used for dimensionality reduction?
Question: 30
Which of the following methods is NOT a hierarchical clustering algorithm?