Andrew Whitehouse andrewwhitehouse
xim
/ cluster_example.py
Created
October 11, 2011 20:19
Clustering K-Means by euclidian distance, yay!
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| import sys | |
| import numpy | |
| from nltk.cluster import KMeansClusterer, GAAClusterer, euclidean_distance | |
| import nltk.corpus | |
| from nltk import decorators | |
| import nltk.stem | |
| stemmer_func = nltk.stem.EnglishStemmer().stem | |
| stopwords = set(nltk.corpus.stopwords.words('english')) |
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| (ns jquerytest.core) | |
| (def jquery (js* "$")) | |
| (jquery | |
| (fn [] | |
| (-> (jquery "div.meat") | |
| (.html "This is a test.") | |
| (.append "<div>Look here!</div>")))) |
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