Hi Paul,
I would say that it should be possible, but you'll need a different
distance measure which conforms to your coordinate system.
2015-05-11 14:59 GMT+02:00 Pa Rö :
> hi,
>
> it is possible to use a custom distance measure and a other data typ as
> vector?
> i want cluster temporal geo dat
Hi Robert,
I would say, taking the sign of the numbers represent the class of the
input-vector. What kind of data are you using, and what kind of traning-set
do you use. Fundamentally a SVM is able to separate only two classes, you
can do one vs the rest as you mentioned.
I don't see how LVQ can
Hi Saurabh,
Did you check the log of maven?
2015-05-04 15:17 GMT+02:00 Saurabh Gupta :
> HI,
>
> I am trying to build a example code given at
>
> https://spark.apache.org/docs/latest/sql-programming-guide.html#interoperating-with-rdds
>
> code is:
>
> // Import factory methods provided by DataTy
:
>
>> This is my first thought, please suggest any further improvement:
>> 1. Create a rdd of your dataset
>> 2. Do an cross join to generate pairs
>> 3. Apply reducebykey and compute distance. You will get a rdd with
>> keypairs and distance
>>
>>
Dear Sparkers,
I am working on an algorithm which requires the pair distance between all
points (eg. DBScan, LOF, etc.). Computing this for *n* points will require
produce a n^2 matrix. If the distance measure is symmetrical, this can be
reduced to (n^2)/2. What would be the most optimal way of co