刘宏凯，硕士生，主研领域：数据挖掘与并行计算。张继福，教授。摘 要 密度聚类是数据挖掘和机器学习中最常用的分析方法之一，无须预先指定聚类数目就能够发现非球形聚类簇，但存在无法识别不同密度的相邻聚类簇等问题。采用逆近邻和影响空间的思想，提出一种密度聚类分 析算法。利用欧氏距离计算数据对象的Ｋ近邻与...
Clustering is a form of learning by observations. It is an unsupervised learning method and does not require training data set to generate a model. Clustering can lead to the discovery of previously unknown groups within the data. It is a common method of data mining in which similar and ...
By applying the nutrient balance method, the amount of soil fertilizer was calculated at each level, and the fertilizer was targeted according to the amount of fertilizer. Through the pilot application in Nong'an County of Jilin province Chen hometown, compared with the traditional fertilization ...
Research of the Data Mining Method in Optimizing DBSCAN Algorithm with R~+ Tree Guangzhou Guangdong,Guangzhou Guangdong - 《Microcomputer Information》 - 2008 - 被引量: 2 A fast DBSCAN clustering algorithm by accelerating neighbor searching using Groups method Mahesh K...
Clustering Of Regions With Potential For A Tsunami In Indonesia Using The DBSCAN Method (Data Study for 1822 – 2022) The Density-Based Spatial Clustering of Application with Noise (DBSCAN) and OPTICS algorithms were used to group the tsunami datasets.doi:10.1088/1742-6596/2734/1/012047AvisenaPh...
利用遗传思想进行数据划分的DBSCAN算法研究
An efficient method for subjectively choosing parameter 'k' automatically in VDBSCAN (Varied Density Based Spatial Clustering of Applications with Noise) a... Density based clustering algorithms are one of the primary method for data mining. The clusters which are formed using density clustering are...
It is used in finding the user access patterns from web access ... K Santhisree,A Damodaram,S Appaji,... 被引量: 14发表: 2010年 Modified DBSCAN algorithm on oculomotor fixation identification This paper modifies the DBSCAN algorithm to identify fixations and saccades. This method combines ...
[6] Fowlkes, E. B., & Mallows, C. L. (1983). A method for comparing two hierarchical clusterings. Journal of the American statistical association, 78(383), 553–569. 作者:Roi Yehoshua
Most importantly, we propose a novel data partitioning method based on computation cost estimation. The objective is to achieve desirable load balancing even in the context of heavily skewed data. Besides, We conduct our evaluation using real large datasets with up to 1.2 billion points. The ...