concave hull - Map reduce - hadoop - java

$250-750 USD

Cancelled

Posted

almost 12 years ago

$250-750 USD

Paid on delivery

Project requirements ================= * Fully understanding concave hull algorithm (there are different types: alpha shapes, etc..) * Experience with Map Reduce over Hadoop (new API must), CDH 3 preffered * Experience with hadoop * Must be efficient and robust for large datasets (!) * 2 weeks (more than enough for an experienced engineer with experience in this field) Tools of the trade ================= * git <-- github will be provided * hadoop <-- you will run on your LOCAL box, using pseudo distribution * Map reduce * java <-- algorithm will be written in java * nix Flow ================= * Input file: latitude , logitude per row * Output file: concave hull - minimal fitted polygon Work ethic ================= * Daily updates <----- MUST , regardless of progress * Milestones <----- incremental OR all @ the end , upon delivery * Skype

Hadoop

Java

Map Reduce

Project ID: 1618209

About the project

5 proposals

Remote project

Active 12 yrs ago

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5 freelancers are bidding on average $1,350 USD for this job

@kevinxiaozi

Dear sir, I am strong in java programming especially in algorithm implementation. I am strong in Geometry algorithm such as Convex Hull and I have implemented the algorithm in java and C++, so I have a deep insight into the problem. I am also strong in Map-Reduce framework and proficient in Hadoop. I can do the job with high quality and I can show you my past code. Wait for your response Thank you BR

$250 USD in 10 days