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Clustering and Classification

October 6, 2020

The recorded version of this course is now available in our EigenU Recorded Courses area.

Eigenvector Research, Inc. is pleased to bring you Clustering and Classification, an online instructor-led live short course. Complete information about the course can be found by following the links below.

Course Description

Clustering and Classification methods are used to determine the similarity or dissimilarity among samples. Clustering methods are usually exploratory analysis methods which elucidate the similarity within a set of samples. They are often used to determine if there are natural groupings and/or particularly unique individuals or groups within a set. Classification, on the other hand, uses data with known group assignments and produces models which can be used to determine which group(s), if any, a new sample belongs to. This course will discuss various clustering and classification methods and the practical considerations for using them. The course includes follow-along demonstrations with PLS_Toolbox or Solo


Linear Algebra for Chemometricians, Chemometrics I: PCA and Chemometrics II: Regression and PLS or equivalent experience.

Course Outline

  1. Linear Discriminant Analysis
  2. K-Nearest Neighbors (KNN)
  3. K-Means
  4. SIMCA
  5. PLS Discriminant Analysis (PLS-DA)
  6. Complex Classification Problems

Course Fee

Prices include instruction, course materials (provided in advance in .pdf format), a certificate of completion and access to the recorded class sessions. Prices shown are shown below. Payment must be received by 5pm PDT, Monday, October 5, 2020.

Clustering and Classification

Note: Payment must be received by 5pm PDT, Monday, October 5, 2020. Credit card orders are strongly encouraged. Acceptable forms of payment include MasterCard, VISA, American Express, and checks drawn on a US bank. Wire transfers can also be arranged.

Academic discount: University students and faculty are eligible for the academic rate. Verification of University affiliation is required by providing valid university mailing and e-mail address. Note that we define academic as “degree granting institution.”

How to Register, Deadlines and Cancellations

To register, login to your Eigenvector account, or create an account, then select the class you would like to attend under the “Purchase” tab. You can pay directly with your MasterCard, VISA or American Express using our secure credit card processing. You may ask to be invoiced, however, Payments must be received by 5pm PDT, Monday, October 5, 2020.

Complete refunds will be made for cancellations prior to Friday, October 2, 2020. No refunds will be made for cancellations after that date, however, substitutions are gladly accepted.


Clustering and Classification will be taught in a single session of 3.5 hours on Tuesday, October 6. The schedule will be as follows.

Daily Schedule, Pacific Daylight Time (PDT)
06:45 – 07:00 WebEx available for login*
07:00 – 08:00 Instruction
08:00 – 08:10 Coffee Break
08:10 – 09:10 Instruction
09:10 – 09:20 Coffee Break
09:20 – 10:20 Instruction
10:20 – 10:30 Wrap-up and questions

* 7:00 am PDT is 10:00am in New York, 15:00 in London and 16:00 in Paris.

Can’t make it at this time? The sessions will be recorded and made available to course participants for their use for one year after the event.