So there's a fair amount of interconnection between a node's neighbors.

So just getting it correct to a couple of digits is probably sufficient.

Cluster ordered dither

So we'd like to have a way of getting a pretty good answer in time a lot less than this.

And the answer is 2.

And if you do that, you end up with K minus one clusters instead of k clusters.

Server address

Server port

Server passwords

StatusNet server

Server Encoding

Server Log

Server Port

The server type

Server Version

Server URL

Server URL

Server Error

Next I want to focus for a little while on the notion of a clustering coefficient.

Server

Servers

Server

Server

Server string

CUPS server error

Kolab Server Mail

The server reported

Akonadi Server Self Test

Host name of the server

CUPS server error

Server's local socket filename

Server Settings

Server Information

I am going to say that the clustering coefficient for graph is just the average of the clustering coefficients of the nodes in the graph.

I actually have some friends who work on this too.

Key servers used by KGpg. The first server in the list is the default server.

Suppose we're given the following data points in a 2 dimensional space.

A web server

X server

SMTP Server

SMTP server

IMAP Servers

SMTP Servers

Nepomuk Server

INDI Server