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Questions related from Ashutosh Karna
I am working on a novel image classification problem with only 128 images of one class and 25 images of another class. From CNN perspective, I have too little data to learn features well and on...
20 May 2021 4,181 12 View
I am designing a 2^5 factorial design (5 factors, each at 2 levels). This would yield 32 treatment combinations that I want to distribute among 8 blocks (4 experiments per block) and 3...
26 June 2020 7,071 0 View
Most of the applications today, especially in streaming data, generate hundreds of variables coming from different sensors at the same time. Is it wise to call such data 'Multivariate' even when...
13 May 2020 8,881 0 View
I have a streaming (not real-time) time series data comprising of thousand of multivariate objects (50 features each). Each object receives a new datastream of all features everyday. I want to...
21 April 2020 6,252 0 View
Usually, the publishing houses like Elsevier and Springer have their own recommendation system to suggest the best journal to submit the paper for a given topic and abstract. But is there any 3rd...
11 April 2020 4,909 6 View
I have a dataset with 290 rows and 35000 features. What are the consequences of running clustering techniques (such as Hierarchical) on the whole dataset and what should be the most suitable...
25 February 2020 8,740 7 View
I am running a hierarchical clustering exercise and trying to evaluate it with different measures like Calinski-Harbasz score and Silhuette score. Could anyone tell or point to any document...
21 December 2019 4,217 3 View
I have measurements from several experiments on a specific combination of two different factors, say A and B. From each experiment, I calculate three types of values (to check the performance of...
19 November 2019 2,692 4 View
In a typical multivariate scenario, where the time series does not really follow any particular pattern (or distribution), are the techniques like Standardization or MiniMax scaling appropriate ?...
22 October 2019 721 3 View
I have a multivariate time-series forecasting problem which I am trying to solve using LSTM models. I have transformed my data such that it looks back last 20 timestamps to reconstruct the records...
09 October 2019 4,350 4 View
I have a completely unlabeled high dimensional dataset and have built few autoencoder models to detect the anomalies. Apart from the average reconstruction error, what other statistical measures...
23 August 2019 8,585 0 View
I have a dataset and trying to apply soft clustering, preferably Multivariate Gaussian Mixture model, but I have following doubts : 1. Does Multivariate GMM assume the underlying data to follow...
31 July 2019 6,352 4 View
I have a small multivariate data ( < 10,000 records) with none of the variable following normal distribution (mix of right-skewed and left-skewed variables). As Gaussian Mixture Model is not...
04 July 2019 9,092 5 View
