APPLICATION OF SUPERVISED LEARNING
UNSUPERVISED LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Types of unsupervised learning
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Exclusive
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clustering
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Either A or B
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None of the above
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Explanation:
Detailed explanation-1: -K-means clustering. KNN (k-nearest neighbors) Hierarchal clustering. Anomaly detection. Neural Networks. Principle Component Analysis. Independent Component Analysis. Apriori algorithm. More items
Detailed explanation-2: -Some examples of unsupervised learning algorithms include K-Means Clustering, Principal Component Analysis and Hierarchical Clustering.
Detailed explanation-3: -Cluster analysis, or clustering, is an unsupervised machine learning task. It involves automatically discovering natural grouping in data. Unlike supervised learning (like predictive modeling), clustering algorithms only interpret the input data and find natural groups or clusters in feature space.
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