1.2k citations · 1.4k across the 10 of their papers we have counts for
11 papers
Kernel Controllers: A Systems-Theoretic Approach for Data-Driven Modeling and Control of Spatiotemporally Evolving Processes
Hassan A. Kingravi, Harshal Maske, Girish Chowdhary
We consider the problem of modeling, estimating, and controlling the latent state of a spatiotemporally evolving continuous function using very few sensor measurements and actuator…
Reduced-Set Kernel Principal Components Analysis for Improving the Training and Execution Speed of Kernel Machines
Hassan A. Kingravi, Patricio A. Vela, Alexandar Gray
This paper presents a practical, and theoretically well-founded, approach to improve the speed of kernel manifold learning algorithms relying on spectral decomposition. Utilizing r…
Linear, Deterministic, and Order-Invariant Initialization Methods for the K-Means Clustering Algorithm
M. Emre Celebi, Hassan A. Kingravi
Over the past five decades, k-means has become the clustering algorithm of choice in many application domains primarily due to its simplicity, time/space efficiency, and invariance…
Deterministic Initialization of the K-Means Algorithm Using Hierarchical Clustering
M. Emre Celebi, Hassan A. Kingravi
K-means is undoubtedly the most widely used partitional clustering algorithm. Unfortunately, due to its gradient descent nature, this algorithm is highly sensitive to the initial p…
A Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm
M. Emre Celebi, Hassan A. Kingravi, Patricio A. Vela
K-means is undoubtedly the most widely used partitional clustering algorithm. Unfortunately, due to its gradient descent nature, this algorithm is highly sensitive to the initial p…
Comments on "On Approximating Euclidean Metrics by Weighted t-Cost Distances in Arbitrary Dimension"
M. Emre Celebi, Hassan A. Kingravi, Fatih Celiker
Mukherjee (Pattern Recognition Letters, vol. 32, pp. 824-831, 2011) recently introduced a class of distance functions called weighted t-cost distances that generalize m-neighbor, o…