Data mining-Clustering-1

Cluster analysis is ...................

• Unsupervised Learning

• Supervised learning

• Semi supervised learning

• None of these

Of the following identify the problems that can be solved by cluster analysis

• Outlier Detection

• Community detection in social network

• Sales forecasting

• Customer segmentation

Of the following what are the distance based clustering algorithms?

• K-Means

• K-Medoids

• Hierarchical

• DBSCAN

K-Means clustering is ........................ type clustering algorithm?

• Distance based

• Partition based

• Density based

• Hierarchical

Of the following what are the Density based clustering algorithms?

• DBSCAN

• OPTICS

• BIRCH

• CURE

Weblog data is __________________

• Time series data

• Sequence data

• Streaming data

• Categorical data

Which of the following statements are true?

• Time series data can be sequence data but sequence data need not be Time series data

• A Good clustering method will have high intra-class similarity and low inter-class similarity

• Similarity measure is critical for cluster analysis

• Biological sequence is a Time series data