Improving K-Medoids Clustering for Semantic Data
Budget: $10 – $30 USD
I'm facing an issue with my K-Medoids clustering. I have two phrases that share similar words, but are not similar as a whole, causing overlaps in the clustering process. I used Sentence-Transformers for semantic similarity and cosine distance for the distance measure.
The main goal is to increase the accuracy of the clustering. I'm open to suggestions for alternative clustering algorithms that could better handle this situation.
Ideal skills for this project include:
- Expertise in various clustering algorithms
- Proficiency in Python and familiar with the Sentence-Transformers library
- Strong understanding of semantic similarity and distance measures
- Experience in improving clustering processes and increasing accuracy.
The main goal is to increase the accuracy of the clustering. I'm open to suggestions for alternative clustering algorithms that could better handle this situation.
Ideal skills for this project include:
- Expertise in various clustering algorithms
- Proficiency in Python and familiar with the Sentence-Transformers library
- Strong understanding of semantic similarity and distance measures
- Experience in improving clustering processes and increasing accuracy.