搜索资源列表
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- 基于WEKA平台的文本聚类研究与实现 文本聚类是文本挖掘领域的一个重要研究分支，是聚类方法在文本处理领域的应用。本文对基于空间向量模型的文本聚类过程做了较深入的讨论和总结，利用文本语料库，基于数据挖掘工具研究并实现了文本聚类的过程。本文首先给出了文本聚类的思想和过程，回顾了文本聚类领域的已有成果，列举了文本聚类领域在特征表示、特征提取等方面的基础研究工作。另外，本文回顾了现有的文本聚类算法，以及常用的文本聚类效果评价指标。在研究了已有成果的基础上，本文利用20 Newsgroup文本语料库，
Clustering_Coefficient
- 此源程序是复杂网络中参数聚类系数的计算机程序，很有用的-This source is a complex network parameter clustering coefficient computer program, very useful
Clustering
- clustering algorithm in wireless sensor network
k-means-clustering-of-rbf-
- 聚类算法：聚类分析是指事先不了解一批样品中的每一个样品的类别 基于k均值聚类学习算法的rbf神经网络实现-Clustering algorithm: cluster analysis is the prior knowledge of each batch of samples in the sample of category learning algorithm based on k means clustering of rbf neural network
clustering-presentations
- This package contains presentations and pdfs related to data clustering.Some of the algorithms discussed in this zip file are kmeans,cure-This package contains presentations and pdfs related to data clustering.Some of the algorithms discussed in this
C-means-clustering
- C均值算法是一种很好的动态聚类算法，在实际中具有很高的应用价值。-C means algorithm is a good dynamic clustering algorithm, in practice has a high application value.
Kmeans-MATLAB
- 该代码能够实现K均值聚类算法对彩色图像分割，在MATLAB下实现。-The code can achieve K means clustering algorithm to color image segmentation, in MATLAB to achieve.
image-clustering
- 内容是英文的，是关于张量在图聚类上的应用的-Content is in English, is the tensor in the graph on the application of clustering
code
- tcl file for ns 2 based on clustering
clustring
- clustring(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 find
C-means-clustering-algorithm
- 利用C++实现C均值聚类算法。模糊c均值聚类算法因算法简单收敛速度快且能处理大数据集，解决问题范围广，易于应用计算机实现等特点受到了越来越多人的关注，并应用于各个领域。-C means clustering algorithm in C++
A-survey-on-subspace-clustering--pattern-based-cl
- Clustering high-dimensional data A survey on subspace clustering, pattern-based clustering, and correlation clustering-Clustering high-dimensional data A survey on subspace clustering, pattern-based clustering, and correlation clustering
Density-Conscious-Subspace-Clustering-for-High-Di
- Density Conscious Subspace Clustering for High-Dimensional Data
k.matlab
- 用于算法模糊分类，对于时间序列的聚类分析有较高的利用价值-Algorithm for fuzzy classification, clustering analysis of time series for a higher use value
motion_segmentation_subspace
- 基于子空间方法的运动分割技术研究，包GPCA with spectral clustering，RANSAC Local Subspace Affinity (LSA)，三种方法-Motion segmentation technique based on subspace method, including the GPCA with spectral clustering, RANSAC Local Subspace Affinity (LSA)
clustering.1.1107
- Presentation about clustering algorithms. Pretty cool.
clustering-programming
- 聚类（Cluster）分析是由若干模式（Pattern）组成的，通常，模式是一个度量（Measurement）的向量，或者是多维空间中的一个点。聚类分析以相似性为基础，在一个聚类中的模式之间比不在同一聚类中的模式之间具有更多的相似性。 -Cluster (Cluster) analysis was performed by a number of models (Pattern) composed of, usually, model is a measure of (Measurement
MATLAB-code-for-particle-clustering
- 本代码为自编的粒子群聚类MATLAB代码，有一定的参考价值-The code for clustering the particles self MATLAB code, there is some reference value
Based-on-clustering-algorithm-a
- 基于聚类算法和模式识别的人脸检测程序原代码-Based on clustering algorithm and pattern recognition face detection procedures the original code
a-web-based-clustering-analysis_wbca_with_matlab.
- A Web Based Clustering Analysis Toolbox (WBCA) Design Using MATLAB