搜索资源列表
cluster-hyper-dim
- This paper studies the problem of categorical data clustering, especially for transactional data characterized by high dimensionality and large volume. Starting from a heuristic method of increasing the height-to-width ratio of the cluster hist
LJClusterDemo
- 文本聚类是基于相似性算法的自动聚类技术，自动对大量无类别的文档进行归类，把内容相近的文档归为一类，并自动为该类生成特征主题词。适用于自动生成热点舆论专题、重大新闻事件追踪、情报的可视化分析等诸多应用。 灵玖Lingjoin（www.lingjoin.com）基于核心特征发现技术，突破了传统聚类方法空间消耗大，处理时间长的瓶颈；不仅聚类速度快，而且准确率高，内存消耗小，特别适合于超大规模的语料聚类和短文本的语料聚类。 灵玖文档聚类组件的主要特色在于： 1、速度快：可以处理海量规模
nearest_neighbour
- nearest neighbour clustering is an algoithm that puts data in categories. This algotithm is a data mining subject. Similar data is put in the same cluster.
High
- This paper presents a clustering approach which estimates the specific subspace and the intrinsic dimension of each class. Our approach adapts the Gaussian mixture model framework to high-dimensional data and estimates the parameters which best
p103-zhang
- Research about Birch data clustering algorithm
Clustering.Algorithms.Research
- 软件学报 2008年论文《聚类算法研究》，作者孙吉贵, 刘杰, 赵连宇。pdf格式，14页。对近年来聚类算法的研究现状与新进展进行归纳总结.一方面对近年来提出的较有代表性的聚类算法,从算法思想、关键技术和优缺点等方面进行分析概括 另一方面选择一些典型的聚类算法和一些知名的数据集,主要从正确率和运行效率两个方面进行模拟实验,并分别就同一种聚类算法、不同的数据集以及同一个数据集、不同的聚类算法的聚类情况进行对比分析.最后通过综合上述两方面信息给出聚类分析的研究热点、难点、不足和有待解决的一些问题.上
Clustering
- clustering data with measurement errors
File3
- 数据挖掘，聚类，遗传算法，k-means算法，基于遗传算法的k-means聚类方法。-Data mining, clustering, genetic algorithm, k-means algorithm, based on genetic algorithm k-means clustering method.
ESCAL_An_Energy_Saving_Clustering_Algorithm_Based
- Abstract—the application of wireless sensor network (WSN) is always restricted by the energy shortage of sensor nodes. In order to reduce the entire energy consumption of the WSN, a promising approach is to design light clustering algorithms.LEACH is
Data-clustering-particle-swarm-optimization
- Data clustering using particle swarm optimization Data clustering using particle swarm optimization
PSOformal
- PSO formal Data clustering using particle swarm optimization
Kernel-Function-Clustering-Based-on-Ant-Colony-Al
- Cluster analysis one of the several important tools in modern data analysis, and the clustering can be regarded as an optimization problem. The underlying assumption is that there are natural tendencies of cluster or group structure in the da
An-Improved-Ant-Colony-Clustering-Algorithm-Based
- Focused on the disadvantage of classical Euclidian distance in data clustering analysis, we propose an improved distance calculation formula, which describes the local compactness and global connectivity between data points. Furthermore, we i
Online-Clustering-of-Data-Streams
- a pdf file about Online Clustering of Data Streams using in clustring of data
DBSCAN---Wikipedia--the-free-encyclopedia
- DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is a data clustering algorithm proposed by Martin Ester, Hans-Peter Kriegel, Jö rg Sander and Xiaowei Xu in 1996.[1] It is a density-based clustering algorithm because it fi
ainet
- This paper explores basic aspects of the immune system and proposes a novel immune network model with the main goals of clustering and filtering redundant data from problems described by a set of discrete samples. It is not our concern to reprodu
Sequential-clustering-method
- 水文，变异点的检验，有序聚类法，运行环境：excel中vba。按照文件的样式输入数据，ctrl+F11打开vba环境，点击模块1，再点运行就可以了！-Hydrology, the change point test, sequential clustering method, the runtime environment: excel in the Visual Basic. Input data in accordance with the style of the file, ctrl+
high-demensional
- 这是一些有关高位数据聚类的论文，还挺有帮助的-This is some of the papers about the high data clustering, quite helpful
10.1.1.64.263
- Data Clustering Algorithm Based on Gravity Theory
DATA
- matlab数据文件，聚类标准测试数据，K均值聚类等经典算法都可以用。mat文件-matlab data files, the standard test data clustering, K-means clustering algorithm can be used such as the classic. mat file