GeeksforGeeks. https://www.geeksforgeeks.org/ml-linear-discriminant-analysis/ What is linear discriminant analysis? (n.d.). IBM - United States. https://www.ibm.com/think/topics/linear-discriminant-analysis Ultimate guide to linear discriminant analysis (LDA). (2023, December 6). Data...
https://www.geeksforgeeks.org/decision-tree-introduction-example/ https://towardsai.net/p/programming/decision-trees-explained-with-a-practical-example-fe47872d3b53 Decision Tree.png The decision tree algorithm is one of the widely used methods for inductive inference. It approximates discrete-valu...
Sandro-My first experience with data mining was my master project. I used decision tree to predict pollen concentration for the following week using input data such as wind, temperature and rain. The fact that an algorithm can make a computer learn from experience was really amazing to me. I...
In other words, Groovy is not a viable business for Pivotal. And it’s hard to disagree here. Groovy has never been created with any commercial interests. Like many Open Source projects, Groovy was created in order to make something “better”, mostly for the sake of it being b...
The t-SNE implementation in scikit-learn uses the Barnes–Hut approximation algorithm, which relies on quad-trees or octa-tree, which makes the maximum number of dimensions that can be used with t-SNE three. Uniform manifold approximation and projection (UMAP) was developed by McInnes et al. ...
minimum error. With this in mind, we tried to introduce a hybrid type FS algorithm for survival analysis whose working mechanism is explained in the next section. Related work Numerous methods for selecting variables in survival data have been devised over time. To provide a concise overview of...