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Log Messages in Rapidminer
Where can I check the log messages in RapidMiner? when I was using Principal Component Analysis (PCA). Please guide me with this as soon as possible
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What is the actual output of the PCA?
What is the output of the PCA? Is it the eigenvector, or eigenvector*B (original df with mean removed), or sv? Do you have some documentation about that for me to read? Much appreciated. I couldnt find this info here:…
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PCA with informative weight names
Is there a way to use PCA using Turbo prep and still get the original feature names (pre-PCA) under weights instead of the PCs? There is an option in Weka to do PCA and transform back to the original space and was wondering if there is something similar in rapidminer.
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Continuous and categorical mixed features
What function can i use to perform PCA on a dataset with mixed continuous and mixed features in rapidminer? I applied PCA on continuous features that have been standardized and left the categorical variables with dummy encoding only without PCA. Is there a dimensionality reduction method (e.g.FAMD) that can be used on such…
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Weights and PCA
Hi, Are the features under "weights" similar to the ones produced by feature importance? Is there a way to use PCA using Turbo prep and still get the original features (pre-PCA) under weights instead of the PCs?
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PCA loadings plot or (biplot)
Hi! I am interested in plotting not only the PCA-scores but the corresponding loading vectors (for instance in PCA1-PCA2 space) with Principal Component Analysis operator. Is there any straightforward way to achive this? Thank You!
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PCA for classificatin problem.
dear all, 1. can we use PCA as dimens. reduction/feature selection technique for classification problem? If it is yes, how to use both numeric feature and polynomial label in data set or PCA operator? (PCA operator accepts only numeric data) 2. If we cant use PCA for classification problem, how to do feature…
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How are the anomaly scores computed for pca, knn, svm,
Hi Anomaly Detection Experts, I have carefully read the papers underlying these anomaly detection algorithms, but getting surprising results. I am puzzled how is temporal aspects captured in these spatial algorithms. What have you done ? It is not stated anywhere that I can find. I am pulling my hair out, trying to figure…
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Analysis result of PCA
hi I want to use PCA. But I can't analyze the results. Because the column names are displayed as "PC_1".
And I don't know which feature the "PC_1" belongs to. please help me. thanks.
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ROC with PCA
I am gonna show a comparison KNN model before and after applying PCA through ROC but get this error, can anyone help me?
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How to extract a model from Robust PCA
In general, Robust PCA (rPCA) is an excellent algorithm capable of doing both PCA in the presence of outliers and identifying two classes of outliers, i.e. those that fall within the subset of principal components and those outside (which otherwise would not be detected after dimensionality reduction). Anomaly Detection…
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Why SVD "cumulative variance plot" is not scaled to 100%
When using PCA the cumulative variance plot, among many things, allows determining if your visualisation in PC1xPC2 reliably depicts your data (shows large part of variance). In SVD this plot is called "Cumulative Proportion of Single Values" and it is not scaled to 100%. Is there any reason for SVD not to represent…
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RAPIDMINER PCA QUESTION
I would like to do a principal component analysis of the taste of ramen. If I have a score for each noodle(면), the shape (size) of the ramen bowl(그릇), and the taste of the broth(국물), let's perform a PCA analysis with three variables (noodle, bowl, broth). THIS IS EIGENVECTORS THIS IS EXAMPLE SET PCA DATA THIS IS…
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I don't know how to explain this graph.
I'm new to Rapid Miner. But I don't know what PC1 and PC2 are, so I don't know how to interpret them.
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Help with Memory Management for GHA/PCA
So I am trying to run a GHA dimensional reduction algorithm and I get an error of not enough memory for my dataset (1230 rows/407 columns). My machine has 16 GB memory. If that is not enough I would like some guidance as to how to use sampling to do that. After running GHA on the sampled dataset, how would I apply that…
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weights by PCA
In weight by PCA model, how the model is calculating the weight of the variable from the principal component ? I want to understand the exact mechanism.
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Reduction Dimensionality
Hey Guys, We have applied the PCA and ChiSquared methods to the topic of dimensionality reduction. This reduces the data volume considerably, which is my question: Can I remove the main component analysis PCA and leave the Weight By PCA method? I would like to thank you for answering my question. <?xml version="1.0"…
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Weight by PCA
Hey guys, do I have to execute the PCA before using Weight by PCA? TY
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Data out selected by PCA
Hello, I have configured the process here with the calculation via TF IDF. If I start the process, would the process actually give me the output as the Data_out_selected_by_pca or?
I visualized the whole thing again briefly (see screen) BR, Flixport (Screen)
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Bio-Engineering: Principal Component Analysis (PCA) applied to RNA for better Cancer Screening Tests
Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material (RapidMiner at 8 min mark) https://www.jove.com/video/57148/optimization-multiplex-rna-based-expression-assay-using-breast-cancer
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"PCA Operator taking to much time"
Hello, I am performing sentiment analysis on text data in which I examine 1700 tweets. after performing all preprocessing of data I want to visualize it using PCA to check the relationship between the different classes. After generating TF-IDF I am using pca operator with componant=2 and fixed number variance but it taking…
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Text Values to Numerical Values for using PCA
Hi miners! I am trying to use PCA component, so it needs only numerical type values, I have a CSV which has kind of 5 or 6 attributes which contain text. I used the following: Retrieve Data -> Text to Nominal operator -> Nominal to Numerical -> Replace Missing Values -> PCA When I try to add the attributes in Text to…
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PCA in Rapidminer
I would like to determine themes of a corpus of tweets using PCA. I created the process using the ff: read excel,nominal to numeric, PCA and connected the ports. There are no errors but I am not sure on how I can identify the hidden themes using PCA with the standard deviation, proportion of variance and cumulative…
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PCA output help
Hello! I am only familiar with running Factor Analysis using PCA in SPSS. I am wondering if it's possible in RM to get an output similar to a Pattern Matrix, that shows which items load best together. I am unsure of how to read the (what I'm assuming is a) Co-variance Matrix in a similar way? Ultimately I'm trying to…
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Reverse Mapping of PCA
Hi there, I am fairly new to using Rapidminer and a little stuck. I have applied PCA on a dataset and retained 2 of the principal components. I then apply the PCA model to a new dataset to calculate the scores. I would like to then reverse map the scores to the input variables. and then do a comparison of the original…