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Which of the following is required by k means

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30. Which of the following is required by K-means clustering?A. defined distance metricB. number of clustersC. initial guess as to cluster centroidsD. all of the mentioned
// ans:-d // b in pdf31. k-means clustering is also referred to asA. Non-hierarchical clusteringB. Optimizing partitioningC. Divisive clusteringD. Agglomerative clustering// ans :- a//32. Which statement is not true about cluster analysis?A. Objects in one cluster are similar to each other and dissimilar to objects in the otherclusters.B. Cluster analysis is also called classification analysis or numerical taxonomy.C. Groups or clusters are suggested by the data, not defined a priori.D. Cluster analysis is a technique for analysing data when the criterion or dependentvariable is categorical and the independent variables are interval in nature.// ans :- d //33. Clustering is what type of learning?A. SupervisedB. UnsupervisedC. Semi-supervisedD. None of the above// ans :- b //34. Which method of analysis does not classify variables as dependent or independent?A. regression analysisB. discriminant analysisC. analysis of varianceD. cluster analysis// ans :- d //35. In the K-means clustering algorithm the distance between cluster centroid to eachobject is calculated using....method.A. Cluster distanceB. Euclidean distance
C. Cluster widthD. None of above// ans :- b //36. Which of the following clustering algorithms suffers from the problem of convergence at //no anslocal optima?A. K- Means clusteringB. Hierarchical clusteringC. Diverse clusteringD. All of the above// ans:- d // a in pdf37. A perceptron is:A. a single layer feed-forward neural network with pre-processingB. an auto-associative neural networkC. a double layer auto-associative neural networkD. a neural network that contains feedback// ans :- a //38. Automated vehicle is an example ofA. Supervised learningB. Unsupervised learningC. Active learningD. Reinforcement learning// ans :- a //39.Classify variable which is not continuous.a.ageb.heightC. genderD. revenue of medical shop40. ______ are supervised learning methods for predicting the value of a categorical targetattribute.A. ClassificationB. ClusteringC. Regression
D. Customization// ans:- a//41. Neural Networks are methods of ?A. RegressionB. ClusteringC. ClassificationD. Customization42. The development of classification model consists of main phases: Training phase,______,Prediction phase.A. Dividing PhaseB. Combining PhaseC. Testing PhaseD. Sorting Phase// ans:- c //

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