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
The market for miniature computer programming is exploding. C++ Footprint and Performance Optimization supplies programmers the knowledge they need to write code for the increasing number of hand-held devices, wearable computers, and intelligent appliances. This book gives readers valuable knowledge and programming techniques that are not currently part of traditional programming Training. In the world of C++ programming, all other things being equal, programs that are smaller and faster are better. C++ Footprint and Performance Optimization contains case studies and sample code to give readers concrete examples and proven solutions to problems that don t have cut and paste solutions.
標簽： Performance programming Optimizati Footprint
上傳時間： 2013-12-09
上傳用戶：wfl_yy
The neuro-fuzzy software for identification and data analysis has been implemented in the MATLAB language ver. 4.2. The software trains a fuzzy architecture, inspired to Takagi-Sugeno approach, on the basis of a Training set of N (single) output-(multi) input samples. The returned model has the form 1) if input1 is A11 and input 2 is A12 then output =f1(input1,input2) 2) if input1 is A21 and input 2 is A22 then output =f2(input1,input2) 看不懂，據高手說，非常有用。
標簽： identification neuro-fuzzy implemented analysis
上傳時間： 2014-01-12
上傳用戶：zgu489
BP算法 給定一個由N維向量X組成的集合，這些向量將是一個響應agent的感知處理單元計算出的特征向量。這些分量的值可以是數值，也可以是布爾值。這些動作也許是學習者所觀察到的一個教師對一組輸入的響應。這些相關的動作有時稱為向量的“標號”或“類別”。集合與響應的標號組成“訓練集合(Training set)”.機器學習問題就是尋找一個函數。
上傳時間： 2016-06-03
上傳用戶：waizhang
C++ Footprint and Performance Optimization contains case studies and sample code to give readers concrete examples and proven solutions to problems that don t have cut and paste solutions. The market for miniature computer programming is exploding. C++ Footprint and Performance Optimization supplies programmers the knowledge they need to write code for the increasing number of hand-held devices, wearable computers, and intelligent appliances. This book gives readers valuable knowledge and programming techniques that are not currently part of traditional programming Training.
標簽： Optimization Performance Footprint and
上傳時間： 2014-01-06
上傳用戶：杜瑩12345
This code in this directory implements the binary hopfield network.Source code may be found in HOPNET.CPP. A sample Training file is H7x8N4.trn. Sample test pattern files are: H7x8D4.TST, H5x8D7.TST,H5x8D7.TST and H5x8D9.TST, Output of the program goes to both the screen and a file, ARCHIVE.LST.
標簽： code implements directory hopfield
上傳時間： 2013-12-27
上傳用戶：ruixue198909
This book is designed to teach you the best practices in developing Windows DNA applications. We have avoided making this book a primer on every technology associated with Windows DNA. If we had followed this course, this would be an encyclopedia set. Everyone has their favorite authors and books on the various technical subject areas. The market is full of books to teach you the basics, the how, this book tries to be different in that we pull out the important points to teach you about the why. If you need Training in a particular technology covered in this book, Sams has a number of 24-hour and 21-day books that cover a wide range of topics.
標簽： applications developing practices designed
上傳時間： 2016-11-27
上傳用戶：yyq123456789
* Lightweight backpropagation neural network. * This a lightweight library implementating a neural network for use * in C and C++ programs. It is intended for use in applications that * just happen to need a simply neural network and do not want to use * needlessly complex neural network libraries. It features multilayer * feedforward perceptron neural networks, sigmoidal activation function * with bias, backpropagation Training with settable learning rate and * momentum, and backpropagation Training in batches.
標簽： backpropagation implementating Lightweight lightweight
上傳時間： 2013-12-27
上傳用戶：清風冷雨
learning English The following appeared in a memorandum written by the vice president of Nature s Way, a chain of stores selling health food and other health-related products. "Previous experience has shown that our stores are most profitable in areas where residents are highly concerned with leading healthy lives. We should therefore build our next new store in Plainsville, which has many such residents. Plainsville merchants report that sales of running shoes and exercise clothing are at all-time highs. The local health club, which nearly closed five years ago due to lack of business, has more members than ever, and the weight Training and aerobics classes are always full. We can even anticipate a new generation of customers: Plainsville s schoolchildren are required to participate in a fitness for life program, which emphasizes the benefits of regular exercise at an early age.
標簽： memorandum following president learning
上傳時間： 2017-03-06
上傳用戶：youth25
a python version of Chinese segmentor. Only the complete program, thus you should provide the Training and test data.
標簽： segmentor the complete Chinese
上傳時間： 2014-01-15
上傳用戶：yoleeson
