On 02/01/2013 10:15 PM, Vinay B, wrote:
> I thought I'd clarify this question in a separate thread
>
> Each individual cluster is usually associated with a set of
> significant terms. For example, a mahout kmeans cluster operation of
> the reuters-21578 dataset yields output like this
>
>
> :VL-21566{n=2 c=[1,000:2.589, 1.9:2.974, 10:2.289, 14:1.568, 16:2.000,
> 19:1.526, 1986:2.796, 20:1.450
> Top Terms:
> smithkline =>
> 19.37364673614502
> kline =>
> 14.453418731689453
> beckman =>
> 10.067719459533691
> smith =>
> 9.676518440246582
> pharmaceutical =>
> 9.275004863739014
> tianjin =>
> 9.033519744873047
> skb =>
> 8.494523048400879
> tagamet =>
> 8.30789852142334
> laboratories =>
> 7.682400465011597
> allergan =>
> 6.986793041229248
> antiulcer =>
> 6.986793041229248
> venture =>
> 6.036190032958984
> french =>
> 5.92253041267395
> skin =>
> 5.897533416748047
> joint =>
> 5.545732021331787
> testing =>
> 5.528974533081055
> eye =>
> 5.433120250701904
> plant =>
> 5.26419734954834
> capsules =>
> 4.940408706665039
> 521.1 =>
> 4.940408706665039
> Weight : [props - optional]: Point:
> 1.0: [1,000:5.177, 1.9:5.949, 10:4.578, 16:4.001, 1986:5.592,
> 20:2.900, 24:3.633, 25:3.448, 3:1.119, 3.6:6.127, 373:9.593,
> 433:9.034, 50:3.677, 52.05:9.593, 521.1:9.881, 6.78:9.370,
> about:2.838, achieve:6.127, acquisitions:5.550,
> 1.0: [14:3.135, 19:3.051, 200:4.899, 3:1.119, 30:3.104,
> 56.94:8.900, 8.5:6.537, beckman:11.795, billion:2.839,
> capability:7.647, capsules:9.881, chemical:5.396, china:7.466,
> co:2.865, combines:8.146, company:2.449, corp:2.432, dlr
> :VL-21565{n=2 c=[00:2.340, 1:1.459, 1.66:7.721, 10:1.869, 10.20:4.594,
> 10.6:3.387, 11:1.357, 17:1.526
> Top Terms:
> gm =>
> 20.328017234802246
> h =>
> 12.566249370574951
> buyback =>
> 12.333285808563232
> repurchase =>
> 11.563349723815918
> class =>
> 11.257688760757446
>
> .................. etc
>
> Does scikit-learn have similar functionality ? Thanks
The comment I linked to does exactly that, plus render a pretty image ;)
------------------------------------------------------------------------------
Everyone hates slow websites. So do we.
Make your web apps faster with AppDynamics
Download AppDynamics Lite for free today:
http://p.sf.net/sfu/appdyn_d2d_jan
_______________________________________________
Scikit-learn-general mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
