24 Questions
Which algorithm is sensitive to the initialization of cluster centroids?
K-means
Which algorithm is used for feature selection?
Decision Trees
Which algorithm is used for imputing missing values?
K-means
Which algorithm is prone to the curse of dimensionality?
t-SNE
Which algorithm uses a dendrogram to represent the hierarchy of clusters?
Hierarchical clustering
Which algorithm is computationally expensive for large datasets?
t-SNE
Which algorithm is used for reducing the number of features?
PCA
Which algorithm has a parameter called 'min_samples'?
DBSCAN
Which algorithm can handle non-convex clusters?
DBSCAN
Which algorithm is based on the concept of proximity?
DBSCAN
What is the main drawback of K-means clustering?
It requires a predetermined number of clusters
Which algorithm is sensitive to the choice of initial cluster centroids?
K-means
What is the primary use of DBSCAN?
Clustering
Which algorithm is not a clustering algorithm?
Decision Trees
What problem is t-SNE designed to solve?
Dimensionality reduction
In which type of learning is the number of clusters not pre-specified?
Unsupervised learning
Which algorithm is sensitive to outliers?
DBSCAN
What does the perplexity parameter control in t-SNE?
Local neighborhood size
In Random Forest, what is the main purpose of using Decision Trees?
To reduce variance
Which clustering algorithm is not sensitive to the order of input data points?
DBSCAN
Among the algorithms listed, which one can handle non-linear data effectively?
Decision Trees
What does the 'k' in K-means clustering represent?
Number of clusters
Which algorithm is suitable for visualizing high-dimensional data in lower dimensions?
t-SNE
In Decision Trees, what is the primary purpose of using entropy?
To measure impurity
Test your knowledge on clustering algorithms and unsupervised learning with this MLA final quiz. Questions cover topics like K-means, DBSCAN, t-SNE, and unsupervised learning algorithms.
Make Your Own Quizzes and Flashcards
Convert your notes into interactive study material.
Get started for free
