SVM & K-Means Assessment

Distinguish between the margin and the balanced margin in relation to the plane and data points of a SVM classifier.

Identify the two major tasks in unsupervised learning as clustering and dimensionality reduction.

Which unsupervised learning task focuses on grouping data points based on similarity?

• Dimensionality Reduction

• Regression

• Classification

• Clustering

Dimensionality reduction is mainly used to:

• Increase the number of features in the dataset

• Summarize and compress data information

• Create new class labels for supervised tasks

• Enhance clustering performance by adding noise

Clustering and dimensionality reduction are often applied together to:

• Identify hidden patterns and simplify data representation

• Enhance supervised learning algorithms

• Create a labeled training set automatically

• Increase the computational load intentionally

Which scikit-learn algorithm requires the user to pre-specify the number of clusters?

• Agglomerative Clustering

• Mean-shift

• K-means

• DBSCAN

Which algorithm is most appropriate when you do not know the number of clusters in advance?

• K-means

• Linear Regression

• Mean-shift

• Support Vector Machines

The mean-shift algorithm operates by:

• Iteratively updating centroids toward the densest regions of data

• Partitioning data points with fixed centroids

• Using supervised labels for clustering

• Randomly assigning data points to clusters