In K-Means clustering, the algorithm iteratively assigns each data point to the nearest _______, recalculating the centroids until convergence.
- Centroid
- Cluster
- Data Point
- Distance Metric
In K-Means, the algorithm assigns each data point to the nearest centroid and recalculates the centroids until convergence.
Loading...
Related Quiz
- While linear regression is concerned with estimating the mean of the dependent variable, logistic regression estimates the probability that the dependent variable belongs to a particular ________.
- Which algorithm is a popular choice for solving the multi-armed bandit problem when the number of arms is large and some structure can be assumed on the rewards?
- A researcher is working with a large dataset of patient medical records with numerous features. They want to visualize the data in 2D to spot any potential patterns or groupings but without necessarily clustering the data. Which technique would they most likely employ?
- When the outcome variable is continuous and has a linear relationship with the predictor variables, you would use ________ regression.
- ________ is the problem when a model learns the training data too well, including its noise and outliers.