K-tree 0.1 (Default branch)

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12-11-2008

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K-tree 0.1 (Default branch)

K-tree provides a scalable approach to clustering by combining the B+-tree and k-means algorithms. Clustering can be used to solve problems in signal processing, machine learning, and other contexts. It has recently been used at INEX 2008 to solve document clustering problems on the Wikipedia corpus.

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blt_treereleasetoken

Blt_TreeReleaseToken(3) 				      BLT Library Procedures					   Blt_TreeReleaseToken(3)

__________________________________________________________________________________________________________________________________________________

NAME

       Blt_TreeReleaseToken - Releases token associated with tree object.

SYNOPSIS

       #include <bltTree.h>

       int
       Blt_TreeReleaseToken(token)

ARGUMENTS

       Blt_Tree   *token  (in)	    Token of tree to be released.
_________________________________________________________________

DESCRIPTION

       This procedure releases the token associated with a C-based tree data object.  When all outstanding tokens for a tree data object have been
       released, then the data object itself will be freed.  The arguments are as follows:

       token	 Token of the tree data object to be released.	This token was initialized either by Tcl_TreeGetToken or Blt_TreeCreate earlier.

RETURNS

       Nothing.

EXAMPLE

       The following example creates and then releases a new token.

	      Blt_Tree token;

	      if (Blt_TreeCreate(interp, "myTree", &token) != TCL_OK) {
		  return TCL_ERROR;
	      }
	      printf("tree is %s
", Blt_TreeName(token));

	      /* Tree will be destroyed when the token is released. */
	      Blt_TreeReleaseToken(token);

KEYWORDS

       tree, token

BLT
									2.4						   Blt_TreeReleaseToken(3)