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haplotyper.1.0.LINUX.tar
- 利用Partition-Ligation algorithm计算生物SNP的单倍型频率-use Partition - Ligation algorithm to calculate the SNP haplotype frequencies
mathmodel
- 这是一个好的建模学习资料,赶快下载吧, 数学建模十大算法 ( 包含:蒙特卡罗算法、数据拟合、参数估计、 插值等数据处理算法、线性规划、整数规划、多元规划、二次规划等规划类问题、 图论算法、动态规划、回溯搜索、分治算法、分支定界等计算机算法、 最优化理论的三大非经典算法：模拟退火法、神经网络、遗传算法、 网格算法和穷举法、一些连续离散化方法、数值分析算法、图象处理算法）-This a good model to study the information, downloa
changyong
- 动态规划分治算法概率算法模拟退火算法神经网络搜索算法贪婪算法网上matlab遗传算法组合算法Floyd算法-dynamic programming algorithm partition probability algorithm simulated annealing neural network algorithm for the greedy algorithm search online matl ab genetic algorithm combination algorithm Fl
Clustering
- 根据节点分区情况，确定成簇数目是分簇算法设计的重点，这两个算法对成簇数目进行优化，均匀节点能耗，延长网络寿命。-According to the node partition, determine the number of clusters is a clustering algorithm is designed to focus on these two algorithms to optimize the number of clusters, uniform node energy c
partition
- partition算法 一种较aprior的改进版 可以用来进行新手的测试-partition
partitionwithNID
- partition的加强版 支持向量机源码 数据挖掘的一个改进算法-partition NDI
sample
- 一个数据挖掘算法partition的sample 是读者更开的理解partition -sample
fgxnrwz
- 分割虚拟人切片数据的SVM多类分割方法-Virtual Human slice data partition of the many types of SVM segmentation method
th
- 模糊聚类算法的一部分，加入了邻域信息，可以更好的分割图像-Part of fuzzy clustering algorithm, joined the neighborhood information may be a better image of the partition
k_means
- In statistics and machine learning, k-means clustering is a method of cluster analysis which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean. It is similar to the expectation-max
Takagi-Sugeno-FuzzyModelingforProcessControl
- 2:Takagi-Sugeno fuzzy modeling 2.1 Construction of Fuzzy Models 2.1.1 Sector Nonlinearity 2.2 Basic Fuzzy Mathematics for Modeling 2.2.1 Local Approximation in Fuzzy Partition Spaces-2:Takagi-Sugeno fuzzy modeling 2.1 Construction
02
- 模糊神经网络：模糊空间划分 修正的规则-Fuzzy neural networks: fuzzy space partition rules amended
T-Snake-model-for-image-segmentation
- ，本文提出了一种基于遗传算法的双T—Snake模型图像分割方法，它将双T—Snake模型解作为遗传算法的搜 索空间，这既继承了T—Snake模型的拓扑改变能力，又加快了遗传算法的收敛速度。由于它利用遗传算法的全局优 化性能，克服了Snake轮廓局部极小化的缺陷，从而可得到对目标的更精确的分割。将其应用于左心室MRI图像 的分割，取得了较好的效果。-This paper presents a genetic algorithm based on dual-T-Snake model f
www.glzy8.com_doc211710963390
- 遗传算法的编码方式 基于无向图理论的计算机网络k-划分优化遗传算法-Encoding algorithm based on undirected graph theory optimization of computer networks, genetic algorithms k-partition
FCM
- FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分。-FCM algorithm is a clustering algorithm based on division, the idea is to make it to the same cluster is divided into the biggest similari
neural-network-of-multi-sensor
- 基于模糊神经网络的多传感器信息融合，提出了一种简单、有效的分区算法来确定障碍物的距离和方位。采用BP神经网络对障碍物环境进行分类以及模式识别，为移动机器人的导航和避障提供了一种有效的方法。-Fuzzy neural network based multi-sensor information fusion, we propose a simple and effective algorithm to determine the partition barrier distance and dir
OpenOMR
- OpenOMR是一个乐谱识别并打印乐谱的工具。 它允许用户扫描印刷乐谱，并通过计算机扬声器播放。-OpenOMR is an open source optical music recognition (OMR) tool for printed music scores. It allows a user to scan a printed music partition and play it through the computer speakers.
innovation
- 功能分区，对几个城市功能分区的源代码，关于人工神经网络的小程序-Functional partition, the source code for the partition function of several cities
K-MEANS
- k均值聚类是最著名的划分聚类算法，由于简洁和效率使得他成为所有聚类算法中最广泛使用的。给定一个数据点集合和需要的聚类数目k，k由用户指定，k均值算法根据某个距离函数反复把数据分入k个聚类中。-k-means clustering is one of the most famous partition clustering algorithm, due to the simplicity and efficiency so that he became the most widely used i
NMI
- 社团划分的评价标准，计算网络划分的互信息，其值越大说明划分的越准确-One criteria of community detection, the larger of the NMI，the better you get the partition