Researchers assess the quality of an ocean model by comparing its output to that of a
previous model version or to observations. One objective of the comparison is to detect and …

Dengue fever (DF) is a vector-borne disease that has transmit alarmingly in recent decades
and has now affected the populations of roughly 100 nations, primarily in tropical and …

Clustering algorithms partition data points of a dataset depending on their similarity. As this
process is unsu-pervised, validation is a crucial part of this method. Generally, the optimal …

Clustering is an important analysis method commonly used in many areas, including data
mining, image processing, statistics, biology, and machine learning. In this paper, we …

Clustering method splits a large dataset into smaller subsets, where each subset is called a
cluster. Every cluster has the same characteristics and each cluster is different from all other …

Data clustering algorithms partition a given set of data points into groups containing very
similar data points. Representative-based and density-based algorithms are generally used …

In this work, a hierarchical ensemble of projected clustering algorithm for high-dimensional
data is proposed. The basic concept of the algorithm is based on the active learning method …

Clustering algorithms have been applied to different problems in many different real-word
applications. Nevertheless, each algorithm has its own advantages and drawbacks, which …

该文提出面向文本距离并独立于聚类过程的聚类重构策略. 提出邻近域的概念并阐述了邻近域
规则, 设计了高斯加权邻近域算法. 利用高斯函数根据样本与聚篆中心的距离为样本赋权 …

(贵州大学计算机科学与技术学院, 贵州省贵阳市邮编: 550025) 摘要: 本文提出基于高斯加权
距离以及聚类重构机制的K-NN 文本聚类算法. 文章提出K-NN 邻近域的概念 …