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The cluster distances for which the nearest-neighbor chain algorithm works are called reducible and are characterized by a simple inequality among certain cluster distances. The main idea of the algorithm is to find pairs of clusters to merge by following paths in the nearest neighbor graph of the clusters. Every such path will eventually ...
Patent visualisation is an application of information visualisation. The number of patents has been increasing, [ 1] encouraging companies to consider intellectual property as a part of their strategy. [ 2] Patent visualisation, like patent mapping, is used to quickly view a patent portfolio . Software dedicated to patent visualisation began to ...
The average silhouette of the data is another useful criterion for assessing the natural number of clusters. The silhouette of a data instance is a measure of how closely it is matched to data within its cluster and how loosely it is matched to data of the neighboring cluster, i.e., the cluster whose average distance from the datum is lowest. [8]
5. GreatPeopleSearch. GreatPeopleSearch is a user-friendly free reverse phone number lookup site that provides searchers with fast and accurate results. It draws on publicly available national ...
The New South Wales Government (NSW Government) is made up of a number of departments, state-owned corporations and other agencies. The NSW Public Service is organised under the Government Sector Employment Act 2013, with public bodies organised under various legislation. In 2009, most of the 100+ government organisations were restructured into ...
A leaked list of 50,000 phone numbers of potential surveillance targets was obtained by Paris-based journalism nonprofit Forbidden Stories and Amnesty International and shared with the reporting ...
A redacted set of records from the U.K. database. The “44” indicates +44, the U.K.’s country code and the “7” indicates a cell phone number.
Clustering high-dimensional data is the cluster analysis of data with anywhere from a few dozen to many thousands of dimensions.Such high-dimensional spaces of data are often encountered in areas such as medicine, where DNA microarray technology can produce many measurements at once, and the clustering of text documents, where, if a word-frequency vector is used, the number of dimensions ...