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A residential cluster development, or open space development, is the grouping of residential properties on a development site to use the extra land as open space, recreation or agriculture. It is increasingly becoming popular in subdivision development because it allows the developer to spend much less on land and obtain much the same price per ...
The Department of Business and Professional Regulation (DBPR) is the agency charged with licensing and regulating more than 1.6 million businesses and professionals in the State of Florida, such as alcohol, beverage & tobacco, barbers/cosmetologists, condominiums, spas, hotels and restaurants, real estate agents and appraisers, and veterinarians, among many other industries.
The Series 7 is a three-hour, forty-five-minute exam. [1] It is held in one four-hour session. There are 125 questions on the test. Candidates have to score at least 72% to pass. The SIE Exam and the Series 7 Exam are co-requisite exams. [9] Average study time is between 80 and 150 hours depending on current financial knowledge. [10]
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May be a SSC [20] NGC 346: NGC 1569 A1 and A2 (NGC 1569 A) NGC 1569: Clusters A1 and A2 formed SSC A [21] NGC 1569: NGC 1569 B NGC 1569: It contains older population of red giants and red supergiants [22] NGC 1569: NGC 5253's central SSC NGC 5253: It is very dusty, and is the site of ongoing star formation.
Consequently, exam candidates typically spend large amounts of time preparing for the exam. [6] Exam pass rates vary by discipline module and test date, for the April 2010 exam, the pass rates for first time test takers ranged from 85% (Naval Architecture) to 46% (Structural I). The pass rates for repeat test takers is considerably lower. [7]
Indicators of spatial association are statistics that evaluate the existence of clusters in the spatial arrangement of a given variable. For instance, if we are studying cancer rates among census tracts in a given city local clusters in the rates mean that there are areas that have higher or lower rates than is to be expected by chance alone; that is, the values occurring are above or below ...
Consensus clustering is a method of aggregating (potentially conflicting) results from multiple clustering algorithms.Also called cluster ensembles [1] or aggregation of clustering (or partitions), it refers to the situation in which a number of different (input) clusterings have been obtained for a particular dataset and it is desired to find a single (consensus) clustering which is a better ...