TF-ICF Term Weight Function

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:
    • a TF-ICF Ranking Function.
• 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):
  • Jaccard Distance Function.
  • TF-IDF Term Weight Function.
  • Okapi Term Weight Function.
  • ATC Term Weight Function.
  • LTU Term Weight Function.
  • MI-based Term Weight Function.
• See: Term Vector Space Model; Vector Distance; Cosine Distance.

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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.

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