Advantages With BIRCH
It is local in that each clustering decision is made without scanning all data points and currently existing clusters. It exploits the observation that data space is not usually uniformly occupied and not every data point is equally important. It makes full use of available memory to derive the finest possible sub-clusters while minimizing I/O costs. It is also an incremental method that does not require the whole data set in advance.
Read more about this topic: BIRCH (data Clustering)
Famous quotes containing the words advantages and/or birch:
“If the minds of women were enlightened and improved, the domestic circle would be more frequently refreshed by intelligent conversation, a means of edification now deplorably neglected, for want of that cultivation which these intellectual advantages would confer.”
—Sarah M. Grimke (1792–1873)
“The birch stripped of its bark, or the charred stump where a tree has been burned down to be made into a canoe,—these are the only traces of man, a fabulous wild man to us. On either side, the primeval forest stretches away uninterrupted to Canada, or to the “South Sea”; to the white man a drear and howling wilderness, but to the Indian a home, adapted to his nature, and cheerful as the smile of the Great Spirit.”
—Henry David Thoreau (1817–1862)