Cluster analysis, Applied Statistics

Cluster Analysis could be also represented more formally as optimization procedure, which tries to minimize the Residual Sum of Squares objective function: where μ(ωk) - is a centroid of a particular cluster k, K - total amount of clusters, x - data sample in this cluster ωk. Please, provide value of RSS function on each iteration in your program for a particular distance measure and K number. Discuss the changing of RSS function value (increasing or decreasing and why) during Cluster Analysis (from the first iteration until the last one)?

Posted Date: 4/1/2013 5:57:58 AM | Location : United States







Related Discussions:- Cluster analysis, Assignment Help, Ask Question on Cluster analysis, Get Answer, Expert's Help, Cluster analysis Discussions

Write discussion on Cluster analysis
Your posts are moderated
Related Questions
What is a null hypothesis? ..

Construct your initial multivariate model by selecting a dependent variable Y and two independent variables X. Clearly define what each variable represents and how this relates t

Regression Coefficient While analysing regression in two related series, we calculate their regression coefficients also. There are two regression coefficients like two regress

Risk of Portfolios So far, we have seen the application of standard deviation in the context of risk in single investment. But usually most investors hold portfolios of securi

The quick method for a confidence interval for a proportion uses as an approximation for a 95% confidence interval.  The margin of error in this case is slightly larger tha

Lifts usually have signs indicating their maximum capacity. Consider a sign in a lift that reads "maximum capacity 1400kg or 20 persons". Suppose that the weights of lift-users are

The data used is from a statistical software Minitab; London.MPJ is the file that consists of 1519 households drawn from 1980 - 1982 British Family Expenditure Surveys. Data that i

Investigate the use of fixed and percentile meshes when applying chi squared goodness-of- t hypothesis tests. Apply the oversmoothing procedure to the LRL data. Compare the res

Using Chi Square Test when more than two Rows are Present   To understand this, let us consider the contingency table shown below. It gives us the information about the stage

Waht is the product of £ x