Comparison K means & GMM
1. K-Means It can be used for easy, concise, and large data. If the number of features becomes too large with distance-based algorithms, the performance of clustering is degraded. Therefore, in some c
Tag: Gaussian Mixture Model
Gaussian Mixture Model
1. What is GMM It is one of several models applying the Expectation Maximum (EM) algorithm. What is EM algorithm? EM algorithm is basically an algorithm mainly used for Unsupervised learning. It is al