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

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

In response to these challenges, we propose a hierarchical FUN framework, called Hier-FUN. Hier-FUN organizes edge devices into K clusters, each managed by a head device responsible for aggregating ...

Cells throughout the body work together like singers in a choir to keep us healthy, as long as they work in perfect harmony.

Means, Vehicle Crashes, Dunn’s Partition Coefficient, Machine Learning Share and Cite: Abdulhafedh, A. (2025) Applying K-Means Clustering and Fuzzy C-Means Clustering in Vehicle Crashes. Open Access ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=10887540 ...

为探究塞拉多（Cerrado）不同植被类型间植被结构和物种组成的差异及二者关系，研究人员对巴西中部 167 个样地开展植被调查研究。结果表明，基于植被结构能清晰区分不同植被类型，而基于物种组成区分效果不佳，这对塞拉多生态保护策略制定意义重大。

In the age of innovation, autonomous vehicle safety has become one of the most critical challenges in modern transportation.

One notable missing feature in most ANN models is top-down feedback, i.e. projections from higher-order layers to lower-order layers in the network. Top-down feedback is ubiquitous in the brain, and ...

In today’s fast-paced digital world, the need for skilled data scientists who can harness the power of Artificial Intelligence (AI) and Machine Learning (ML) is skyrocketing. Data Science combined ...

This useful study presents computational analyses of over 5,000 predicted extant and ancestral nitrogenase structures. While the data and some analyses are solid, the study remains incomplete in ...

Explore how workplace drama can unite employees and transform team dynamics during challenging times and shared experiences.