We present a new measure based on matching the words of two groups assuming that a similarity measure between two individual words is available. The proposed ...

In this paper, we present a novel similarity measure between two sets of words, called matching similarity. We apply it to keyword-based clustering of services ...

In clustering algorithms, one of the main challenges is to solve the global alloca- tion of the clusters instead of just tuning the partition borders locally.

Nov 7, 2014 · I need to cluster this word list, such that similar words, for example words with similar edit (Levenshtein) distance appears in the same cluster.

This paper introduces a measure of similarity between two clusterings of the same dataset produced by two different algorithms, or even the same algorithm (K- ...

May 7, 2022 · I have 4 topics and 10 keywords representing each of those 4 topics. I now want to classify all the documents in my dataset in one of these ...

Mar 30, 2021 · I am using clustering to put together common words in the documents. My requirement is to create clusters based on a specific list of words.

Jul 24, 2023 · Here's how keyword clustering can help your content rank high across relevant keywords, giving you more visibility in search results.

Mar 28, 2024 · Keyword clustering techniques involve grouping similar keywords to enhance Search Engine Optimization (SEO) strategies. These techniques ...

Matching Similarity for Keyword-Based Clustering. https://doi.org/10.1007/978-3-662-44415-3_20 · Full text. Journal: Lecture Notes in Computer Science ...