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 paul.roewer1...@googlemail.com:
hi,
it is possible to use a custom distance measure and a other data typ as
vector?
i
Hi Saurabh,
Did you check the log of maven?
2015-05-04 15:17 GMT+02:00 Saurabh Gupta saurabh.gu...@semusi.com:
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
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
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
Best
Ayan
On 30 Apr 2015 06:11, Driesprong, Fokko fo...@driesprong.frl wrote:
Dear Sparkers,
I am working
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
