Magnetic resonance imaging (MRI)

Magnetic resonance imaging (MRI) is a powerful non-invasive imaging modality, but is relatively slow compared to alternatives such as X-ray and ultrasound. Accelerating MRI scans has been of the great interest over the past several years and the acceleration of upper...

Performance Evaluation Techniques in data mining

Evaluation of classification methods is one of the most important step in data mining. The most techniques are confusion matrix, learning curves and receiver operating curves (ROC). The confusion matrix shows the number of correct and incorrect prediction made by the...

k-Fold Cross Validation

A k-fold cross validation technique is used to minimize the overfitting or bias in the predictive modeling techniques used in this study. k-Fold cross validation is used with decision tree and neural network with MLP and RBF to generate more flexible models to reduce...

Regression

Regression models are the oldest prediction models: they create a specific association structure between inputs and targets. They use mathematical equations to predict cases using input variables. There are two forms of regressions: linear and logistic regression. In...

Artificial Neural Network

Artificial Neural Network (ANN) are powerful tools and mathematical models used for pattern recognition and modeling. ANN behave in a similar fashion as that of the biological neurons found in nature. They are usually referred to as Neural Network and are used for...

Decision Trees

Decision trees can be defined as structures that can be used to develop a graphical user interface where large data is divided into successively smaller sets of records. Decision trees are governed by a set of rules that are used to produce successively smaller sets...

CRISP- DM Approach

In order to proceed with analysis of the data it is very important to have a data mining process. There are various data mining methodologies; these methodologies attempt to shape the way a data analyst approaches the steps to perform the data mining tasks. The two...

MATLAB code for Least Cost Method

    function[minTcost,b,c]=leastcost(A,sup,dem) %input:TransportationcostA,supplysup, %demanddem %output:minimumtransportationcost %minTcost,basicmatrixb,costmatrixc [m,n]=size(A); sum=0; rf=zeros; cf=zeros;...

Graphical Solution of Linear Programming Problem in MATLAB

We see graphically how linear programming optimizes a linear objective function in which the variables must satisfy a set of simultaneous linear equations. From the graphical view of points, we take following examples of linear programming problems of two variables...

Introduction to Linear Programming

Introduction The objective of a linear programming problem is to obtain an optimal solution. Linear programming problems deal with the problem of minimizing or maximizing a linear objective function in the presence of a system of linear inequalities. The linear...

User De fined Function in MATLAB

A function is a collection of sequential statements that accepts an input argument from the user and provides output to the program. Functions allow us to program efficiently. It avoids rewriting the computer code for calculations that are performed frequently....

Selection Statements and Loop Statements in MATLAB

If the expression is true, then the commands are executed, otherwise the program continues with the next command immediately beyond the end statement. The simplest form of if  statements is if statement1 ; end If the condition is true, the statement1 is executed, but...

format Command in MATLAB

format Command style changes the output display format in the Command Window to the format speci ed by style. For example: format long pi ans = 3.141592653589793 several numeric display of formats...

Variable Precision in MATLAB

MATLAB uses floating-point arithmetic for its calculations. Using the Symbolic Math Toolbox, we can also do exact arithmetic with symbolic expressions. For example: x = cot(pi/2) Output: x = 6.1232 e-17 The value of x is in floating-point format that is...

MATLAB SCRIPTS

A Script is nothing but, a computer program written in the language of MATLAB. It is stored in an M- file. It is saved with extension .m. We can display the contents of the script in the Command Window using the type command followed by file name without .m...