klusterointimallin
Klusterointimallin, also known as clustering model, is a statistical model used to group similar data points together based on certain features or characteristics. It is a type of unsupervised learning, meaning that the model does not require labeled data to train. Instead, it identifies patterns and structures within the data to form clusters.
The process of clustering involves several steps. First, the data is preprocessed to ensure that it is
Once the data is prepared and the metric is chosen, the clustering algorithm is applied. There are
After the clusters are formed, they can be evaluated using various metrics such as silhouette score, Davies-Bouldin