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which of the following cases will K-Means clustering give poor results?
1. Data points with outliers
2. Data points with different densities
3. Data points with round shapes
4. Data points with non-convex shapes
In which of the following cases will K-Means clustering fail to give good results?
1. Data points with outliers
2. Data points with different densities
3. Data points with round shapes
4. Data points with non-convex shapes
Which machine learning algorithm is commonly used for unsupervised learning and is used for clustering data points?
S1: The similarity between the human body and a machine is rather superficial.
P: Beyond that, comparison fails.
Q: No machine grows in size; no machine sees, hears or feels.
R: It can be summed up in the statement that both require fuel and oxygen and obtain energy.
S: No machine thinks.
S6: The points of difference far outweigh the points of resemblance.

The Proper sequence should be:
According to Robert M. Gagne, which learning types precede concept learning? a) Rule learning b) Sign learning c) Problem solving learning d) Verbal association learning e) S.R Learning Choose the correct option:
Which of the following indicate the pillars of learning contained in the UNESCO Report, 1996, “Learning the Treasure Within”, a) Learning to know b) Learning to be c) Learning to do d) Learning to understand e) Learning to live together
Which of the following statements differentiate teaching from learning? A) Teaching is a social act while learning is a personal act B) Teaching implies learning C) Teaching is like selling while learning is like buying D) Teaching can occur without learning taking place E) In teaching, influence is directed towards learning and learner, while in learning it is usually towards oneself Choose the correct answer from the following options:
Which of the following statements are true?
Statement I Big data refers to no precise quantity, but generally refers to data in the range of Petabytes and Exabyte, i.e. billions to trillions of records, all from various sources. Big data is generated much faster. than traditional data in much larger quantities.
Statement II Big data interests industries because they are able to learn more patterns and curious variances than smaller data sets, with the capability to provide valuable insights into consumer behaviour, weather systems, financial market activity, or other phenomena.
Statement III Various departments and product lines use various applications within most organisations and store data in separate datasets. These separate databases may contain similar data, but data from one data base to another is not always consistent. This is called data silo.
Suppose on performing reduced error pruning, we collapsed a node and observed an improvement in the prediction accuracy on the validation set. Which among the following statements are possible in light of the performance improvement observed? (a) The collapsed node helped overcome the effect of one or more noise affected data points in the training set (b) The validation set had one or more noise affected data points in the region corresponding to the collapsed node (c) The validation set did not have any data points along at least one of the collapsed branches (d) The validation set did have data points adversely affected by the collapsed node
A teacher conducts an experiment on “How does food get spoilt?” The teacher makes groups of learners and provides them material related to the experiment. Why do teachers form groups of learners? A. It promotes peer learning. B. It improves social interaction. C. Group learning is an effective way of learning EVS without burden. D. Group learning is an essential strategy to maintain discipline in the class