TF-ICF Term Weight Function
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A TF-ICF Term Weight Function is a term weight function based on ...
- Context:
- Output: a TF-ICF Weight.
- It can be calculated as ...
- It can be used as:
- Example(s):
- TF-ICF Distance({a,b},{b,a}) = ?
- TF-ICF Distance({a,b},{c,d}) = ?
- IF TF(a)=0.5, ICF=0.5 THEN TFIDF Distance({a,a,b},{a,b,b})= ???, because IDF(a)= ???
- Counter-Example(s):
- See: Term Vector Space Model; Vector Distance; Cosine Distance.
References
2006
- (Reed et al., 2006) ⇒ Joel W Reed, Yu Jiao, Thomas E. Potok, Brian A. Klump, Mark T. Elmore, and Ali R. Hurson. (2006). “TF-ICF: A New Term Weighting Scheme for Clustering Dynamic Data Streams.” In: Machine Learning and Applications, 2006. ICMLA'06. 5th International Conference on.