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【AI-NN-PR】 wfcm DL : 0: Weight Fuzzy C-means Algorithm Based on 1D histgram
Update : 2024-05-14 Size : 1024 Publisher : wu si
【AI-NN-PR】 ClustererEnsemble DL : 0: K-Means动态聚类算法源程序比较常见的聚类算法。-Dynamic K-Means clustering algorithm more common source of clustering algorithm.
Update : 2024-05-14 Size : 5120 Publisher : wwwiceage
【AI-NN-PR】 c-means+isodata DL : 0: C均值算法，ISODATA算法综合，属于模式识别-C means algorithm, ISODATA algorithm synthesis, belonging to pattern recognition
Update : 2024-05-14 Size : 398336 Publisher : 廖君华
【Software Engineering】 km DL : 0: visual basic上的模糊k均值聚类-visual basic on the fuzzy k-means clustering
Update : 2024-05-14 Size : 6144 Publisher :
【JSP/Java】 CRC16 DL : 0: CRC16算法的Java实现，使用方法如下： CRC16 crc16 = new CRC16() byte[] b = new byte[] { // (byte) 0xF0,(byte)0xF0,(byte)0xF0,(byte)0x72 (byte) 0x2C, (byte) 0x00, (byte) 0xFF, (byte) 0xFE, (byte) 0xFE, (byte) 0x04, (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x00 } for (int k = 0 k < b.length k++) { crc16.update(b[k]) } System.out.println(Integer.toHexString(crc16.getValue())) System.out.println(Integer.toHexString(b.length)) -CRC16 algorithm realize Java, use the following method: CRC16 crc16 = new CRC16 () byte [] b = new byte [] (//(byte) 0xF0, (byte) 0xF0, (byte) 0xF0, (byte) 0x72 (byte ) 0x2C, (byte) 0x00, (byte) 0xFF, (byte) 0xFE, (byte) 0xFE, (byte) 0x04, (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x00) for ( int k = 0 k
Update : 2024-05-14 Size : 1024 Publisher : zhangQ
【Other】 KandISODATAClass DL : 0: K均值和ISODATA分类两种算法，根据给定样本、聚类中心进行分类！-K-means and ISODATA classification algorithm, according to a given sample cluster center to classify!
Update : 2024-05-14 Size : 70656 Publisher : leon
【matlab】 juleiduanfa DL : 0: 聚类分析技术已经广泛应用于基于内容的图象信息挖掘领域，该技术提高了图象检索的速度和质量。K-均值算法和自适应算法是两个典型的聚类分析算法
Update : 2024-05-14 Size : 47104 Publisher : sunny
【Graph program】 K-L DL : 0: KL变换的Matlab实现 KL 变换是图像正交变换的一种，在图像压缩领域有着广泛应用。-KL Transform Matlab realize KL transform is a kind of orthogonal transformation image in the field of image compression have broad application.
Update : 2024-05-14 Size : 1024 Publisher : 贺宏洲
【Editor】 fuzzy-c-cluster DL : 0: 这是关于模糊K聚类的pdf文件，供大家学习-This is on the K fuzzy clustering pdf document for everyone to learn
Update : 2024-05-14 Size : 71680 Publisher : zhs
【JSP/Java】 apriori DL : 0: apriori算法的java代码，APRRORI算法使用频繁项性质的先验知识，逐层搜索迭代，用K-项集产生(K+1)-项集。APRRORI算法的一个显著特点是:利用APRIORI性质，压缩了频繁项集，提高了算法的效率。 -apriori algorithm java code, APRRORI algorithm uses the a priori nature of frequent itemsets knowledge, step by step iterative search using K-itemsets generated (K+ 1)- itemsets. APRRORI algorithm A significant feature is: the nature of the use of APRIORI, compression of the frequent itemsets, improve the efficiency of the algorithm.
Update : 2024-05-14 Size : 21504 Publisher : xinyuanwo
【CSharp】 Apriori_Csharp DL : 0: Apriori关联规则产生算法：不限制事务数据和1项集的数量，计算深度为3，变换深度值请修改循环中变量K的值-Apriori association rules algorithm generated: Without limiting the matters of data and a set quantity, calculation of a depth of 3, change the depth of value, please amend the cycle the value of variable K
Update : 2024-05-14 Size : 3072 Publisher : 张三锋
【Algorithm】 KClustering DL : 0: 能计算用户输入的聚类，并进行K分。输出的结果为每次计算的中心点的坐标和每个点到中心的距离-Can be entered by the user computing cluster, and K points. Output of the calculation for each of the coordinates of the center and each point the distance to the center
Update : 2024-05-14 Size : 695296 Publisher : 黄伟
【matlab】 knn DL : 0: knn 方法为k均值聚类用于数据点的分类-KNN method for k-means clustering for the classification of data points
Update : 2024-05-14 Size : 27648 Publisher :
【Crack Hack】 crc-32 DL : 0: 计算xk+1除CRC-32后的余式，k从1到32768-Calculated xk+ 1 In addition to CRC-32 after more than style, k from 1-32768
Update : 2024-05-14 Size : 4096 Publisher : 小刀
【AI-NN-PR】 K-SA DL : 0: 此文档是K类均值聚类和模拟退火结合的软硬件化分算法。众所周知，模拟退火算法的通用性，此算法是模拟退火的改进，较单纯的SA更优秀。-This document is a category K-means clustering and simulated annealing combination of hardware and software sub-algorithm. As we all know, the generic simulated annealing algorithm, this algorithm is the improvement of simulated annealing, a simpler SA better.
Update : 2024-05-14 Size : 65536 Publisher : 石敏敏
【Mathimatics-Numerical algorithms】 Isodata(Clustering) DL : 0: 经典的划分聚类算法，isodata。可以不需要提供K值，进行聚类-Classic division of clustering algorithm, isodata. K value can be no need to provide for clustering
Update : 2024-05-14 Size : 116736 Publisher : 肖宪
【AI-NN-PR】 matlabk-means DL : 0: 此程序用与图象图形的模式识别,在VC环境下实现matlab的聚类算法-This procedure with graphics and image pattern recognition, in the VC environment realize the clustering algorithm matlab
Update : 2024-05-14 Size : 4665344 Publisher : 朱舸
【Console】 Knn DL : 0: K最近邻分类的代码，附有输入输出和程序使用说明。-K nearest neighbor classification code, with input and output and procedures for use.
Update : 2024-05-14 Size : 518144 Publisher : 胡芬芬
【Graph Recognize】 Kaverage DL : 0: 本文采用模糊K聚类算法对图片进行分类，并输出相应的分类结果！采用matlab环境进行仿真。-In this paper, K fuzzy clustering algorithm to classify on the picture, and output the corresponding classification results! Using matlab simulation environment.
Update : 2024-05-14 Size : 3072 Publisher : 张辉
【Windows Develop】 k_Mean DL : 0: K聚类分析，通过使用欧式距离，K聚类方法显示聚类结果，用于分类-K cluster analysis, using Euclidean distance, K show the clustering results of clustering method for classification
Update : 2024-05-14 Size : 21504 Publisher : 谢天培

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