boost_dcm

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. (How the K-mean Cluster workStep 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 (Nk) 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.)

用matlab编写的程序，建立经典模型，解决车间调度通用问题，(Matlab prepared using the procedure, the establishment of the classical model, to solve general shop scheduling problem,)

satelliet link and fsk modulation

matlab的命令，很全很给力，大家可以作为字典用(Matlab command very wide to the force, we can use as a dictionary )

Face recognitiion and detection system in matlab

Efficient Kmeans using Multiple Threads

说明：  能够计算IEEE14节点和IEEE30节点的状态估计(It can calculate the state estimation of IEEE14 node and IEEE30 node)

image compression using JEPG2000

OFDM以SLM方法結合CES降低PAPR(OFDM PAPR reduction SLM method combined with CES)

单机对无穷大 且三相短路后的电路仿真图 (Stand-alone on the infinite and after the three-phase short-circuit diagram circuit simulation)