Cluster Analysis Service

Cluster analysis or clustering is the main task of exploratory data mining and a common technique for statistical data analysis. It has been used in many fields, including pattern recognition, image analysis, information retrieval, bioinformatics, data compression, computer graphics, and machine learning. Cluster analysis itself is not a specific algorithm, but the general task to be solved usually needs to modify the data preprocessing and model parameters until the results get the required attributes.

Features about cluster analysis

  • Cluster analysis is simple and intuitive.
  • Cluster analysis is mainly used for exploratory research.
  • Regardless of whether there are really different categories in the actual data, cluster analysis can be used to obtain solutions divided into several categories.
  • When using cluster analysis, researchers should pay special attention to various factors that may affect the results.
  • Outliers and special variables have a greater impact on clustering.

Cluster analysis service

Clustering analysis generally consists of the following steps:


Finding appropriate dissimilarity or similarity measure


Deciding on the grouping algorithm


Choosing the appropriate number of clusters


Describing and profiling the newly-formed clusters

Our simulation services

Project name Cluster analysis service
Samples requirement Please provide the original data you need cluster analysis.
Timeline 3-5 days.
Deliverables We provide you with raw data and calculation result analysis service.
Price Inquiry

Cluster analysis service 1

Applications for cluster analysis include but not limited to:

  • Genetic clustering
  • Transcriptomics
  • Proteomics
  • Sequence analysis
  • High-throughput genotyping platforms
  • Medical imaging
  • Analysis of antimicrobial activity

Our molecular dynamics analysis service but not limited to:

Cluster analysis service 3

CD ComputaBio provides corresponding cluster analysis services. Structure and function are the central issues of modern molecular biology. The interaction between molecules is the cornerstone of this axis problem. The interactions between molecules mainly include covalent bonds, ionic bonds, hydrogen bonds, van der Waals forces, hydrophobic interactions, etc. The CD ComputaBio team has been working in this field for more than ten years, and can provide you with accurate analysis of related forces. If you have needs in this regard, please feel free to contact us.

* For Research Use Only.