CodeBus
www.codebus.net
Search
Sign in
Sign up
Hot Search :
Source
embeded
web
remote control
p2p
game
More...
Location :
Home
Search - k means
Main Category
SourceCode
Documents
Books
WEB Code
Develop Tools
Other resource
Search - k means - List
[
source in ebook
]
texture-gabor
DL : 1
gabor提取纹理特征,k-means方法无监督聚类进行图像分割-extract texture feature, cluster by k-means
Date
: 2025-12-31
Size
: 63kb
User
:
zhengjuan
[
source in ebook
]
kmeans
DL : 0
经典的k-means程序,包含了很多的数据集,具有几点的聚类程序的描述。以供大家参考。-kmeans
Date
: 2025-12-31
Size
: 35kb
User
:
tanglina
[
source in ebook
]
kmean
DL : 0
用c语言写的k均值聚类,代码简单,易懂,可以拿来直接调用-Language written by c k means clustering, the code is simple, easy to understand, could be used to directly call
Date
: 2025-12-31
Size
: 5kb
User
:
lan
[
source in ebook
]
AP-cluster
DL : 0
AP聚类算法,08年提出的一种优秀聚类算法,文档描述其执行过程及k-means和它的比较-AP cluster
Date
: 2025-12-31
Size
: 143kb
User
:
hanna
[
source in ebook
]
kmeans
DL : 0
一个应用K-means方法进行的图像分割技术。-utilize the k-means method to achieve image segementation
Date
: 2025-12-31
Size
: 10kb
User
:
[
source in ebook
]
newwork
DL : 0
K均值算法是一种常用的聚类算法,在Envi软件中分类可用到,该文档是isodata算法的设计思路与算法设计,引用百度文库。-k-means algorithm is a popular clustering algorithm, classification Envi software available to the document isodata algorithm design ideas and algorithm design, and reference Baidu library.
Date
: 2025-12-31
Size
: 1kb
User
:
闫会敏
[
source in ebook
]
K-Means
DL : 0
K-means algorithm code matlab
Date
: 2025-12-31
Size
: 90kb
User
:
mahran omairy
[
source in ebook
]
K_means
DL : 0
Matlab 实现灰度图像K-means算法(菜鸟入门级)-Matlab to achieve gray image K-means algorithm (rookie entry-level)
Date
: 2025-12-31
Size
: 1kb
User
:
李颖
[
source in ebook
]
matlab-bian-ma
DL : 0
matlab源代码 包括K均值聚类 鱼群算法 模拟退火 蚁群算法 端点检测等-matlab source code, including K-means clustering algorithm simulated annealing ant colony algorithm fish endpoint detection
Date
: 2025-12-31
Size
: 5.58mb
User
:
杨存强
[
source in ebook
]
src
DL : 0
实现数据挖掘的十大算法之一K-Means算法的程序代码-One of the top ten data mining algorithm K-Means algorithm code
Date
: 2025-12-31
Size
: 2kb
User
:
郭芝辰
[
source in ebook
]
K_Mean_Java
DL : 0
K - Means algorithms in java code
Date
: 2025-12-31
Size
: 3kb
User
:
Nguyen Duc Linh
[
source in ebook
]
uv865
DL : 0
已经调试成功.内含m文件,可直接运行,基于matlab平台实现,基于K均值的PSO聚类算法。- Has been successful debugging. M contains files can be directly run, Based on matlab platform, K-means clustering algorithm based on the PSO.
Date
: 2025-12-31
Size
: 4kb
User
:
郭崇
[
source in ebook
]
yanqoupan
DL : 0
BP神经网络用于函数拟合与模式识别,基于K均值的PSO聚类算法,使用拉亚普诺夫指数的公式。- BP neural network function fitting and pattern recognition, K-means clustering algorithm based on the PSO, Raya Punuo Fu index using the formula.
Date
: 2025-12-31
Size
: 4kb
User
:
来娟
[
source in ebook
]
tuinun-V7.6
DL : 0
基于K均值的PSO聚类算法,鲁棒性好,性能优越,gmcalab 快速广义的形态分量分析。- K-means clustering algorithm based on the PSO, Robustness, superior performance, gmcalab fast generalized form component analysis.
Date
: 2025-12-31
Size
: 7kb
User
:
曹宇东
[
source in ebook
]
databricks-spark-reference-applications.pdf.tar
DL : 0
摘要: 现有的聚类算法比如 CluStream 是基于 k-means 算法的。这些算法不能够发现任 意形状的簇以及不能处理离群点。 解决上述问题,本文提出了 而且, 它需要预先知道 k 值和用户指定的时间窗口。 为了 分将数据映射到一个网格, D-Stream 算法,它是基于密度的算法。这个算法用一个在线部 在离线部分计算网格的密度然后基于密度形成簇。 度衰减技术来捕获数据流的动态变化。 为了探索衰减因子、 数据密度以及簇结构之间的关系, 我们的算法能够有效的并且有效率地实时调整簇。 群点的稀疏网格是合理的, 算法采用了密 而且, 我们用理论证明了移除那些属于离 从而提高了系统的时间和空间效率。 该技术能聚类高速的数据流 而不损失聚类质量。 实验结果表明我们的算法在聚类质量和效率是有独特的优势, 并且能够 发现任意形状的簇,以及能准确地识别实时数据流的演化行为(Abstract: Existing clustering algorithms such as CluStream are based on the k-means algorithm. These algorithms can not be found Meaningful clusters and can not handle outliers. To solve the above problems, this paper presents)
Date
: 2025-12-31
Size
: 433kb
User
:
dugking
[
source in ebook
]
kiufing-V2.7
DL : 0
构成不同频率的调制信号,基于K均值的PSO聚类算法,窗函数法设计一个数字带通FIR滤波器。( Constituting the modulated signals of different frequencies, K-means clustering algorithm based on the PSO, A window function design FIR digital band-pass filter.)
Date
: 2025-12-31
Size
: 6kb
User
:
miemaolenhie
CodeBus
is one of the largest source code repositories on the Internet!
Contact us :
1999-2046
CodeBus
All Rights Reserved.