EDA-Quiz No.3 (final term)

What is an unsupervised machine learning task that involves automatically discovering natural grouping in data?

• Clustering

• Regression

• Classification

• K-Means Clustering

What mathematical formula is used to calculate the distance from the K center to the object in the clustering process?

• Euclidean Distance

• K-Means clustering

• Pythagorean theorem

• Silhouette analysis

Which of the given statements is not considered desirable Properties of Clustering?

• Ability to deal with different data types

• Interpretability and usability

• Able to deal with noise and outliers

• Sensitive to order of input records

What is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster?

• K-Means Algorithm

• K-Means clustering

• Elbow Method clustering

• Silhouette analysis

It helps you understand how your data is organized using visual analysis and gives insight into choosing the optimal value of k

• Silhouette analysis

• Scatter Plot analysis

• Elbow Method analysis

• Clusters analysis

It is sometimes called classification by statisticians and sorting by psychologists and segmentation by people in marketing, what is it?

• Clustering

• Regression

• Classification

• K-Means Clustering

What are the objects that do not belong to any cluster or form clusters of very small cardinality?

• Clusters

• Variables

• Outliers

• Silhouette

In silhouette coefficients, what value indicates that the sample is on or very close to the decision boundary between two neighboring clusters?

• 0

• -1

• +1

• closed to 0

What are the two types of clustering?

• Graphical and Hierarchical

• Partitional and Hierarchical

• Partitional and Systematical

• Similar and Hierarchical

It is a diagram that shows the hierarchical relationship between objects and it is most commonly created as an output from hierarchical clustering.

• Similarity

• Scatter Plot

• Dendrogram

• Clusters