Due to recent updates, all users are required to create an Altair One account to login to the RapidMiner community. Click the Register button to create your account using the same email that you have previously used to login to the RapidMiner community. This will ensure that any previously created content will be synced to your Altair One account. Once you login, you will be asked to provide a username that identifies you to other Community users. Email us at Community with questions.
"time series data : microarray data clustering"
Contributor I
Hi
hope u all doin well, i need ur suggestions and experience , i am just starting using rapidminer , some how confused.
i have microarray data sets which a time series data, need to apply several similarity measure let it be (a,b,c...and N: similarity measure method), and then apply several clustering method for each result let it be (1,2,3...and M: clustering Alg.). to get results[ [a1,a2,a3,...aM],[b1,b2,b3...bM], [c1,c2,c3...cM],[..............,NM]] comparing all results from each row and identify the best depending on cluster validation and evaluation let it be [am,bm,cm,...Nm], then compare this result to identify the final best result let it be nm.
if u have any suggestions for me to get this work done, it will be appreciated .
hope u all doin well, i need ur suggestions and experience , i am just starting using rapidminer , some how confused.
i have microarray data sets which a time series data, need to apply several similarity measure let it be (a,b,c...and N: similarity measure method), and then apply several clustering method for each result let it be (1,2,3...and M: clustering Alg.). to get results[ [a1,a2,a3,...aM],[b1,b2,b3...bM], [c1,c2,c3...cM],[..............,NM]] comparing all results from each row and identify the best depending on cluster validation and evaluation let it be [am,bm,cm,...Nm], then compare this result to identify the final best result let it be nm.
if u have any suggestions for me to get this work done, it will be appreciated .
Tagged:
0
