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Inderscience Enterprises Ltd hybrid hierarchical k-means (hhk) clustering algorithm
Hybrid Hierarchical K Means (Hhk) Clustering Algorithm, supplied by Inderscience Enterprises Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/k-means+clustering+algorithm+function/hybrid+hierarchical+k+means++hhk++clustering+algorithm/pm20681482-4-8-3
Average 90 stars, based on 1 article reviews
hybrid hierarchical k-means (hhk) clustering algorithm - by Bioz Stars, 2026-10
90/100 stars

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Article Title: Using hybrid hierarchical K-means (HHK) clustering algorithm for protein sequence motif super-rule-tree (SRT) structure construction.
Article Snippet: Many algorithms or techniques to discover motifs require a predefined fixed window size in advance.. Because of the fixed size, these approaches often deliver a number of similar motifs simply shifted by some bases or including mismatches.. To confront the mismatched motifs problem, we use the super-rule concept to construct a Super-Rule-Tree (SRT) by a modified Hybrid Hierarchical K-means (HHK) clustering algorithm, which requires no parameter set-up to identify the similarities and dissimilarities between the motifs.



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