It provides a wide range of functions for classification, regression, clustering, and more. Scikit-Learn is widely used in industry and is known for its ease of use and flexibility. Matplotlib ...

Multi-target regression and predictive clustering techniques constitute a rapidly evolving area within the field of machine learning. In multi-target regression, models are designed to predict a ...

Predictive clustering techniques: Methods that combine clustering with prediction, enabling the grouping of similar outputs and enhancing model interpretability.

A comprehensive machine learning project featuring modular implementations for classification and clustering. The project applies ridge regression, nearest neighbors, logistic regression, and ...

Clustering is an effective method to manage the network topology of CRSN. In order to solve the optimal cluster head selection problem in clustering which is proved to be NP-hard, inspired by ions ...

Due to the widespread of smart devices and services, the Internet of Things (IoT) has gained attention from researchers and is still in constant development. Many challenges face the IoT networks and ...

This module allows users to analyze k-means & hierarchical clustering, and visualize results of Principal Component, Correspondence Analysis, Discriminant analysis, Decision tree, Multidimensional ...

Emerging real-time monitoring technologies have been implemented in stormwater system management in recent decades. However, barriers such as limited monitoring resources and transient reaction time ...