Habbersett Contrib Library

The following is a listing of the entire contents of this library for IDL. Click on an individual procedure name to view its header and source code. This listing is a shortened form of the much longer entire library help file. This may be handy for text searchs, be beware that some of these are huge and may take a long time to load or even crash your browser.

[Go Back to Main Search Page]

List of Routines

• NN_CLUST NAME: nn_clust.pro PURPOSE: tag events with cluster # CATEGORY: data processing - cluster analysis CALLING SEQUENCE: result = NN_CLUST(data,weights,[N_PARAM=n_param], [N_EVENT=n_event],[N_CLUST=n_clust]) INPUTS: data = data set to be clustered, weights = array of weights which
• NN_LEARN NAME: nn_learn.pro PURPOSE: Learning step to cluster data using neural network techniques. CATEGORY: Data processing - cluster analysis CALLING SEQUENCE: weights = nn_learn(data,max_val,[BLR=blr],[ELR=elr], [N_EVENT=n_event],[N_PASS=n_pass],[N_PARAM=n_param],[N_CLUST=n_clust] INPUTS: data = data set to be clustered, max_val = maximum range of each