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
Differentiate between prediction, projection and forecasting.

Construct index numbers of price for the following data by applying: i)      Laspeyre’s method ii)     Paasche’s method iii)    Fisher’s Ideal Index number

The Case Study included information about the price for a full meal before and after the law change (in dollars).  Of interest is whether the differences in price for a full meal b

Objective of index numbers

Flow Chart for Confidence Interval We can now prepare a flow chart for estimating a confidence interval for μ, the population parameter. Figure

We are interested in assessing the effects of temperature (low, medium, and high) and technical configuration on the amount of waste output for a manufacturing plant. Suppose that

Sampling Error  It is the difference between the value of the actual population parameter and the sample statistic. Samples are used to arrive at conclusions regarding the p

how can we graph a trend line by semiaverages and least square method?

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

You will recall the function pnorm() from lectures. Using this, or otherwise, Dteremine the probability of a standard Gaussian random variable exceeding 1.3.  Using table(), or