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fcm1
- function [U,V,num_it]=fcm(U0,X) ％ MATLAB (Version 4.1) Source Code (Routine fcm was written by Richard J. ％ Hathaway on June 21, 1994.) The fuzzification constant ％ m = 2, and the stopping criterion for successive partitions is epsi
SEP_LEACH
- 改进SEP_LEACH协议代码-无线传感器网络基于能量的分簇算法源码-SEP_LEACH agreement to improve the code- wireless sensor networks based on energy source Clustering Algorithms
LEACH
- 无线传感器网络leach分簇算法matlab仿真实现-Wireless sensor network clustering algorithm leach simulation matlab
LEACH
- This the Low Energy Adaptive Clustering Hierarchy routing protocol [LEACH] source code for wireless sensor network we have used.It is developed with MatLab7-This is the Low Energy Adaptive Clustering Hierarchy routing protocol [LEACH] source code for
location-based-services
- This paper presents a technique which is based on pattern recognition techniques, in order to estimate Mobile Terminal (MT) velocity. The proposed technique applies on received signal strength (RSS) measurements and more precisely on information
flood
- this source code for time synchronization in wireless sensor network which I wrote for my Ms.c thesis. it includes flooding, routing, clustering and time synchronisation.-this is source code for time synchronization in wireless sensor network which I
SEP
- SEP matlab code for WSNs clustering
gangbun-V5.1
- Can realize the two-dimensional data clustering, Foreign materials inside the source code, Rotating Machinery dimensional hologram of practical spectrum calculation routines.
upxjm
- Mutual information is useful to calculate a set of procedures, Codec ldpc code implementation Clustering analysis based on Euclidean distance.
gouqiepiu
- Can realize the two-dimensional data clustering, Calculation of growth, entry-level program grains Course designed to prepare the matlab program code.
main code
- Size and complexity of data repositories collaboratively created by Web users generate a need for new processing approaches. In this paper, we study the problem of detection of fine-grained communities of users in social networks, which can be de