Hello Friends in this post we are going to discuss about Clustering – The Data Ensemble MCQ with Answer | clustering – the data ensemble fresco play answers | Clustering – The Data Ensemble TCS Answer Dump | Clustering – The Data Ensemble TFactor Answer | Clustering – The Data Ensemble Objective type question

**Q1.hat is a preferred distance measure while dealing with sets ?**

Jaccard — Correct

**Q2.Each point is a cluster in itself. We then combine the two nearest clusters into one. What type of clustering does this represent ?**

Agglomerative — Correct

**Q3.Which learning is the method of finding structure in the data without labels.**

Unsupervised — Correct

**Q4.______ of a set of points is defined using a distance measure .**

Similarity — Correct

**Q5.Members of the same cluster are far away / distant from each other .**

False — Correct

**Q6.Unsupervised learning focuses on understanding the data and its underlying pattern.**

True — Correct

**Q7.***_*______ of two points is the average of the two points in Eucledian Space.

Centroid — Correct

**Q8.A centroid is a valid point in a non-Eucledian space .**

False — Correct

**Q9.What is the overall complexity of the the Agglomerative Hierarchical Clustering ?**

O(N^3) — Correct

**Q10.____***_* measures the goodness of a cluster

Cohesion — Correct

**Q11._____***_* is the data point that is closest to the other point in the cluster.

Clusteroid — Correct

**Q12. The _______ is a visual representation of how the data points are merged to form clusters.**

Dendogram — Correct

**Q13.___***_* is when points don’t move between clusters and centroids stabilize.

Convergence — Correct

**Q14._____***_* is a way of finding the k value for k means clustering.

Cross Validation — Correct

**Q15.The number of rounds for convergence in k means clustering can be lage**

True — Correct

**Q16.Sampling is one technique to pick the initial k points in K Means Clustering**

True — Correct

**Q17.K Means algorithm assumes Eucledian Space/Distance**

True — Correct

**Q18.What is the R Function to divide a dataset into k clusters ?**

kclusters() — Wrong

**Q19.What is the R function to apply hierarchical clustering to a matrix of distance objects ?**

hclust() — Correct

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