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  <title>FW: Florida Job Creation Initiative:  Low and Moderate Community on Treemo</title>
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  <pubDate>Tue, 06 Jan 2009 15:19:52 PST</pubDate>

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		<p><br />-------------------------------------------<br />From: FMCRC[SMTP:FMCRC@YAHOO.COM]<br />Sent: Friday, November 14, 2008 6:36:47 AM<br />To: FirstPerson<br />Subject: Florida Job Creation Initiative:  Low and Moderate Community<br />Auto forwarded by a Rule<br /><br />   <br /><br />  /www.simplesend.com/simple/uploadedimages/000138/header_FMCRC_02.jpg> 	<br /><br /><br /><br /><br />                   <br />  Job (wealth) Creation Initiative Targeted<br />for Florida Low Income Community:  Assets & Hope<br /><br />FMCRC targets Liberty City (Miami) and surrounding under-served communities for cluster analysis project.  The cluster analysis is part of FMCRC's Assets & Hope Initiative that will target three Florida minority communities for job creation and self-sufficiency for minority families, businesses and organizations.      <br /><br /><br /><br /><br /><br />                         Benefits for targeted low-moderate income communities<br /><br />    /simplesend.com/simple/uploadedimages/000138/pic77.JPG> <br /><br /><br /><br /><br />          <br />                Cluster Analysis:<br /><br /><br /><br />                         Test Location:  Liberty City and surrounding communities<br /> <br /><br />Clustering is the  /en.wikipedia.org/wiki/Statistical_classification> classification of objects into different groups, or more precisely, the  /en.wikipedia.org/wiki/Partition_of_a_set> partitioning of a  /en.wikipedia.org/wiki/Data_set> data set into  /simplesend.com/simple/t.asp?S=138&ID=22311&NL=1110&N=29665&SI=2455102&URL=http://en.wikipedia.org/wiki/Subset> subsets (clusters), so that the data in each subset (ideally) share some common trait - often proximity according to some defined  /en.wikipedia.org/wiki/Metric_(mathematics)> distance measure. Data clustering is a common technique for  /simplesend.com/simple/t.asp?S=138&ID=22311&NL=1110&N=29665&SI=2455102&URL=http://en.wikipedia.org/wiki/Statistics> statistical  /en.wikipedia.org/wiki/Data_analysis> data analysis, which is used in many fields, including  /en.wikipedia.org/wiki/Machine_learning> machine learning,  /en.wikipedia.org/wiki/Data_mining> data mining,  /en.wikipedia.org/wiki/Pattern_recognition> pattern recognition,  /en.wikipedia.org/wiki/Image_analysis> image analysis and  /simplesend.com/simple/t.asp?S=138&ID=22311&NL=1110&N=29665&SI=2455102&URL=http://en.wikipedia.org/wiki/Bioinformatics> bioinformatics. The computational task of classifying the data set into k clusters is often referred to as k-clustering.<br /><br /> <br /><br />Clusters are groups of inter-related industries that drive job and wealth creation in a region, primarily through export of goods and services. The use of clusters as a descriptive tool for regional economic relationships provides a richer, more meaningful representation of local industry drivers and regional dynamics than do traditional methods. <br /><br /><br /><br />*        A cluster is a group of interconnected businesses and industries that are centered around a specific product or service.  A cluster encompasses all aspects of providing the product or service, including wholesale and retail, distribution, manufacturing, support services and other activities.<br /><br /> <br /><br />*        Clusters are divided into two types, Traded and Local:<br /><br /></p>
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