A Machine Learning technique that helps in detecting the outliers in data.(1 Point)ClusteringClassificationAnomaly DetectionAll of the above
Question
A Machine Learning technique that helps in detecting the outliers in data.(1 Point)ClusteringClassificationAnomaly DetectionAll of the above
Solution
The Machine Learning technique that helps in detecting the outliers in data is Anomaly Detection.
Here's why:
- Clustering: This is a Machine Learning technique that involves the grouping of data points. Given a set of data points, we can use a clustering algorithm to classify each data point into a specific group. In theory, data points that are in the same group should have similar properties and/or features, while data points in different groups should have highly dissimilar properties and/or features
Similar Questions
Which of the following machine learning techniques helps in detecting the outliers in data?
Which technique utilizes machine learning algorithms to automatically detect outliers?Review LaterScatter PlotsHistogramsEye TestMachine Learning Assist
Which clustering algorithm is particularly useful for identifying outliers in the data?Agglomerative clusteringDBSCANHierarchical clusteringK-Means
What is anomaly detection?Answer areaA supervised learning technique to classify data pointsAn unsupervised learning technique to identify rare events or observationsA regression technique to predict future data pointsA clustering technique to group similar data points
Which of the following is a technique for reducing the impact of outliers on a supervised learning model?Review LaterRemoving the outliers from the datasetWinsorizing the dataUsing a robust loss functionAll of the above
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