You have applied GMM to a dataset and obtained the following probabilities for three clusters for a particular data point: 0.5, 0.3, and 0.2. To which cluster should this data point be assigned if a hard assignment is required? Cluster 1Cluster 3None, since soft assignment should be usedCluster 2

When using GMM for market segmentation, you notice some customers belong partially to multiple segments. What does this indicate? There is only one segmentGMM assigns probabilities to cluster memberships The algorithm is malfunctioningCustomers are incorrectly segmented

A data scientist wants to apply GMM to a dataset with non-spherical clusters. Which of the following statements is true? GMM is not suitable for clusteringGMM requires the data to be linearGMM can only handle spherical clustersGMM can handle non-spherical clusters

When starting the GMM algorithm, how are the initial Gaussian parameters chosen? By manual selection RandomlyBy using k-means clustering results By sorting the data

You are using GMM to cluster a high-dimensional dataset. How is the covariance matrix represented for each cluster?As a diagonal matrixAs a full matrixAs a vectorAs a scalar

In a GMM, what mathematical concept is used to represent the distribution of each cluster? Poisson distributionGaussian distributionUniform distributionExponential distribution