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How the K-mean Cluster work
Step 1. Begin with a decision the value of k = number of clusters
Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following:
Take the first k training sample as single-element clusters
Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster.
Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample.
Step 4 . Repeat step 3 until Convergence is achieved, that is until a pass through the training sample causes no new assignments.
標簽：
the
decision
clusters
Cluster
上傳時間：
2013-12-21
上傳用戶：gxmm
-
Using Jacobi method and Gauss-Seidel iterative methods to solve the following system
The required precision is =0.00001, and the maximum iteration number N=25. Compare the number of iterations and the Convergence of these two methods
標簽：
Gauss-Seidel
iterative
following
methods
上傳時間：
2016-02-06
上傳用戶：zmy123
-
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric Convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
標簽：
reversible
algorithm
the
nstrates
上傳時間：
2014-01-08
上傳用戶：cuibaigao
-
An optimal neuron evolution algorithm for the restoration
of linearly distorted images is presented in this paper. The proposed
algorithm is motivated by the symmetric positive-definite quadratic programming
structure inherent in restoration. Theoretical analysis and experimental
results show that the algorithm not only significantly increases
the Convergence rate of processing, hut also produces good restoration
results. In addition, the algorithm provides a genuine parallel processing
structure which ensures computationally feasible spatial domain image
restoration
標簽：
restoration
evolution
algorithm
distorted
上傳時間：
2013-12-21
上傳用戶：yy541071797
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Versatile visual servoing without knowledge of true jacobian.pdf cobian matrix estimator.
The Jacobian matrix estimator does not need a priori
knowledge of the kinematic structure and parameters
of the robot system, such as camera and link parameters.
The proposed visual servoing control scheme ensures
the Convergence of the image-features to desired
trajectories, by using the estimated Jacobian matrix,
which is proved by the Lyapunov stability theory. To
show the effectiveness of the proposed scheme, simulation
and experimental results are presented.
標簽：
Versatile
knowledge
estimator
servoing
上傳時間：
2016-08-26
上傳用戶：大三三
-
Because of the poor observability of Inertial Navigation System on stationary base, the estimation
error of the azimuth will converge very slowly in initial alignment by means of Kalmari filtering, and making the
time initial alignment is longer. In this paper, a fast estimation method of the azimuth error is creatively proposed
for the initial alignment of INS on stationary base. On the basis of the the fast Convergence of the leveling error,
the azimuth error can be directly calculated. By means of this fast initial alignment method, the time of initial
alignment is reduced greatly. The computer simulation results illustrate the efficiency of the method.
標簽：
observability
Navigation
estimation
stationary
上傳時間：
2014-01-03
上傳用戶：wuyuying
-
Isisns is an extension of Network Simulator (ns) for the IS-IS routing protocol. It is focused on simulation of network dynamics and Convergence.
標簽：
Simulator
extension
protocol
Network
上傳時間：
2016-11-06
上傳用戶：thesk123
-
A cylindrical wave expansion method is developed to obtain the scattering field for an ideal
two-dimensional cylindrical invisibility cloak. A near-ideal model of the invisibility cloak is set up
to solve the boundary problem at the inner boundary of the cloak shell. We confirm that a cloak
with the ideal material parameters is a perfect invisibility cloak by systematically studying the
change of the scattering coefficients from the near-ideal case to the ideal one. However, due to the
slow Convergence of the zeroth order scattering coefficients, a tiny perturbation on the cloak would
induce a noticeable field scattering and penetration.
標簽：
cylindrical
scattering
expansion
developed
上傳時間：
2017-03-30
上傳用戶：lhc9102
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From the transition of analog to digital communication along with seamless mobility and
high computing power of small handheld devices, the wireless communications industry has
seen tremendous changes leading to the integration of several telecommunication networks,
devices and services over last 30 years. The rate of this progress and growth has increased
particularly in the past decade because people no longer use their devices and networks for
voice only, but demand bundle contents such as data download/streaming, HDTV, HD video ,
3D video conferencing with higher efficiency, seamless connectivity, intelligence, reliability
and better user experience. Although the challenges facing service providers and
telecommunication companies differ by product, region, market size, and their areas of
concentration but time to market, efficient utilization of their assets and revenue expansion,
have impacted significantly how to manage and conduct their business while maintaining
sufficient margin.
標簽：
Convergence
Networks
Beyond
4G
of
上傳時間：
2020-05-26
上傳用戶：shancjb
-
The telecommunications industry has seen a rapid boost within the last decade. New realities
and visions of functionalities in various telecommunications networks have brought forward the
concept of next-generation networks (NGNs). The competitions among operators for support-
ing various services, lowering of the cost of having mobile and cellular phones and smartphones,
increasing demand for general mobility, explosion of digital traffic, and advent of Convergence
network technologies added more dynamism in the idea of NGNs. In fact, facilitating con-
vergence of networks and Convergence of various types of services is a significant objective of
NGN
標簽：
Next-Generation
Converged
Building
Networks
上傳時間：
2020-05-26
上傳用戶：shancjb
