Hierarchical clustering: how it works
Clustering algorithms allow data to be grouped according to their inherent characteristics. There are many algorithms that have been developed over the years. Hierarchical clustering, thanks to a graphical representation called a dendogram, makes it possible to visualize at a glance the composition of clusters and interpret their characteristics. Let us find out, step by step, how it works and how to interpret the results obtained.
K-Means: how it works
Clustering algorithms allow data to be grouped according to their inherent characteristics. There are many algorithms that have been developed over the years. K-Means is certainly the most popular and simple one. Let’s find out, step by step, how this method succeeds in identifying clusters of data using only the number of groups that need to be extracted.
DBSCAN: how it works
Clustering algorithms allow data to be grouped according to their inherent characteristics. There are many algorithms that have been developed over the years. Among the most famous ones, we cannot forget DBSCAN. Let’s find out, step by step, how this method succeeds in identifying clusters of data of any shape and size thanks to only two parameters.
ChatGPT: what it is and what the revolutionary new text generation tool can generate
ChatGPT is OpenAI’s flagship product. This chatbot, which is completely free, allows us to interact with artificial intelligence to generate ideas, articles, code, and more. Let’s discover its features and some possible application areas.
