ok, i got it.. ya i misunderstood it..

On Sat, May 7, 2011 at 11:03 PM, Dave <dave_and_da...@juno.com> wrote:

> @Gaurav: As I understand your solution, you are finding the K largest
> integers based on value, rather than the K with the highest frequency
> of occurrence.
>
> @Amit: Hash the integers into a hash table that includes a field for
> the frequency count. When a new entry is made, set the frequency count
> to 1. When an integer already is in the table, increment its count.
> After all integers are processed, compress out the unused hash table
> entries and find the Kth largest element. The overall algorithm can be
> done in O(n).
>
> Dave
>
> On May 7, 12:06 pm, Gaurav Aggarwal <0007gau...@gmail.com> wrote:
> > It can be done without sorting. Take the first element as pivot
> > element. Calculate its position using Partition algorithm.
> > If its new index is K, then on left side are top K  integers. If index>K,
> > apply algo on left side Else apply algo on right side.
> >
> > Best Case: O(1)
> > Worst Case: O(n^2)
> >
> > But there are very less chances of worst case. It is when the list is
> > already sorted.
> >
> >
> >
> >
> >
> > On Thu, May 5, 2011 at 1:06 AM, amit <amitjaspal...@gmail.com> wrote:
> > > Hi ,
> >
> > > We are give a list of integers now our task is to find the top K
> > > integers in the list based on frequency.
> >
> > > Apart from sorting the data can there be any other algorithm?
> >
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> > --
> > Gaurav Aggarwal
> > SCJP- Hide quoted text -
> >
> > - Show quoted text -
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-- 
Gaurav Aggarwal
SCJP

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