Clustering sequences of data with different lengths using ngrams.
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I am trying to cluster sequences of data that have different lengths.
I am treating the element of my sequence as a word. In other words, a list is a sentence.
To be able to achive this I am thinking of extracting ngrams like my code below.
However, I keep getting following error message:
“Arguments to IMPORT must either end with ".*" or else specify a fully qualified class name: "nltk" fails this test.”
1. How can I solve this error?
2. Am I going toward right direction?
I am a novice Matlab user and I hope I am not asking too basic questions.
Following is my Matlab code:
-------------------------------------------------------
A = [1.2,1.5; 2.4,0.5; 3.2,1.5];
B = [1.0,1.0; 2.0,0; 3.0,1.0; 4.0,0.5];
C = [1.1,1.2; 2.2,1.3; 3.3,1.5];
D = [1.3,1.3; 2.1,1.4; 3.2,1.7; 4.3, 2.0];
E = [1.3,1.8; 2.3,0.4; 3.1,1.6; 4.3,0.8];
figure()
plot(A(:,1), A(:,2)) % first column is the time-values
hold on;
plot(B(:,1), B(:,2))
hold on;
plot(E(:,1), E(:,2))
figure()
plot(C(:,1), C(:,2)) % first column is the time-values
hold on;
plot(D(:,1), D(:,2))
import nltk
from nltk import ngrams
aa = A(:)'
bb = B(:)'
cc = C(:)'
dd = D(:)'
ee = E(:)'
bb = list()
bb append(str(','.join(str(e) for e in ['x' + str(e) for e in aa])))
bb append(str(','.join(str(e) for e in ['x' + str(e) for e in bb])))
bb append(str(','.join(str(e) for e in ['x' + str(e) for e in cc])))
bb append(str(','.join(str(e) for e in ['x' + str(e) for e in dd])))
bb append(str(','.join(str(e) for e in ['x' + str(e) for e in ee])))
from sklearn.feature_extraction.text import CountVectorizer
vectorizer = CountVectorizer()
X = vectorizer.fit_transform(bb)
X.toarray()
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답변 (1개)
Prabhanjan Mentla
2020년 3월 20일
NLTK is not supported in MATLAB however one can run python functions in MATLAB by following this. There is also text analytics toolbox in MATLAB which deals text data.
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