APPLICATION OF SUPERVISED LEARNING
MACHINE LEARNING PIPELINE
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Partitioning an image of a street scene into multiple segments
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Finding an optimal path out of a maze
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Identifying clusters of housing sales based on related data points
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Analyzing sentiment of social media posts
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Detailed explanation-1: -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.
Detailed explanation-2: -Clustering and other types of unsupervised learning Unsupervised learning is often focused on clustering. Clustering is the grouping of objects or data points that are similar to each other and dissimilar to objects in other clusters.
Detailed explanation-3: -Clustering or cluster analysis is a machine learning technique, which groups the unlabelled dataset. It can be defined as “A way of grouping the data points into different clusters, consisting of similar data points.