Optimal number of cluster, Applied Statistics

Assignment Help:

Try different numbers of clusters in your program (K=2...15) and build a plot that shows the dependency between number K and value of RSS function on the last iteration. What is the optimal number of clusters K for a given data set? Did you get any empty clusters? What is the possible solution for this problem? Present output of your program in the report and give explanations.

Related Discussions:- Optimal number of cluster

Time series analysis., how is a free hand graph secular trend method plotte...

how is a free hand graph secular trend method plotted

Its a portfolio assignment, i m doing MBA in singapore and i want a good wo...

i m doing MBA in singapore and i want a good work. i want a data for 200 observations and then answers for some questions. and i need the data to be approved by our professor first

Regression coefficient, Regression Coefficient While analysing regressi...

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

Carpal tunnel statistics, Cindy, the Assistant Vice President of Engineerin...

Cindy, the Assistant Vice President of Engineering/Administrative Services at Blue Cross Blue Shield Rhode Island (BCBSRI), has seen all of the OSHA statistics: In 2000, 1

Mle, mle

mle

Luxury goods higher for men than for women, According to a recent study, wh...

According to a recent study, when shopping online for luxury goods, men spend a mean of $2,401, whereas women spend a mean of $1,527. Suppose that the study was based on a sample o

Find the distribution, The Elementary Teachers' Federation of Ontario make ...

The Elementary Teachers' Federation of Ontario make the following claim on their website as of February 13, 2013: For years, the Elementary Teachers' Federation of Ontario (ETFO

Data reduction, The PCA is amongst the oldest of the multivariate statistic...

The PCA is amongst the oldest of the multivariate statistical methods of data reduction. It is a technique for simplifying a dataset, by reducing multidimensional datasets to lower

Standard deviation and variance, Explanation of standard deviation and vari...

Explanation of standard deviation and variance Describe the importance of standard deviation and variance, what they calculate and why they are required. Importance of char

Multiple correspondence analysis, Correspondence Analysis (CA) is a general...

Correspondence Analysis (CA) is a generalization of PCA to contingency tables. The factors of correspondence analysis give an orthogonal decomposi:ion of the Chi- square associated

Write Your Message!

Name

Email id

Message

Verfication Code

User Account

All Pages